• 20242023202220212020201920182017Prior years

There are no upcoming publications at this time.

Authors:

ALLAppertBateniBerrettBrunelBuchholzButuceaCatoniChérief-AbdellatifChhorChinotChopinCollierCommingesCuturiDalalyanDangDauDe LoynesDebalyDepersinDioneDu Roy De ChaumarayDuboisDucrocqEl-KoleiGaucherGaudelGayraudGenetayGolovkineHebiriHoffmannKaragulyanKerkyacharianKloppLecueLerasleLouniciMarbac-LourdelleMatzner-LoberMuzellecNavarroNeiracPatileaPatyPerchetRobertSaumardScetbonSchreuderSigallaSimoniStupflerTruquetTsybakovVimond

Type:

ALLJournal/magazine articlePaper in conference proceedingsBookEditorialBook chapter

2021

• G. Maillard, S. Arlot, and M. Lerasle, “Cross-validation improved by aggregation: agghoo,” Journal of machine learning research, 2021.
  [Bibtex]

  @article{maillard:hal-03094497,
  author={Maillard, Guillaume and Arlot, Sylvain and Lerasle, Matthieu},
  title={Cross-validation improved by aggregation: Agghoo},
  journal={Journal of Machine Learning Research},
  year={2021},
  }

• G. Chinot, G. Lecue, and M. Lerasle, “Robust high dimensional learning for lipschitz and convex losses,” Journal of machine learning research, 2021.
  [Bibtex]

  @article{chinot:hal-03094512,
  author={Chinot, Geoffrey and Lecue, Guillaume and Lerasle, Matthieu},
  title={Robust high dimensional learning for Lipschitz and convex losses},
  journal={Journal of Machine Learning Research},
  year={2021},
  }

• B. De Loynes, F. Navarro, and B. Olivier, “Data-driven thresholding in denoising with spectral graph wavelet transform,” Journal of computational and applied mathematics, 2021.
  [Bibtex]

  @article{deloynes:hal-02159571,
  author={De Loynes, Basile and Navarro, Fabien and Olivier, Baptiste},
  title={Data-driven Thresholding in Denoising with Spectral Graph Wavelet Transform},
  journal={Journal of Computational and Applied Mathematics},
  year={2021},
  }

• A. Saumard and F. Navarro, “Finite sample improvement of akaike’s information criterion,” Ieee transactions on information theory, 2021.
  [Bibtex]

  @article{saumard:hal-03286369,
  author={Saumard, Adrien and Navarro, Fabien},
  title={Finite Sample Improvement of Akaike's Information Criterion},
  journal={IEEE Transactions on Information Theory},
  year={2021},
  }

• A. Daouia, I. Gijbels, and G. Stupfler, “Extremile regression,” Journal of the american statistical association, 2021.
  [Bibtex]

  @article{daouia:hal-03181017,
  author={Daouia, Abdelaati and Gijbels, Irene and Stupfler, Gilles},
  title={Extremile regression},
  journal={Journal of the American Statistical Association},
  year={2021},
  }

• P. lafaye De micheaux, P. Mozharovskyi, and M. Vimond, “Depth for curve data and applications,” Journal of the american statistical association, 2021.
  [Bibtex]

  @article{demicheaux:hal-03188029,
  author={De micheaux, Pierre lafaye and Mozharovskyi, Pavlo and Vimond, Myriam},
  title={Depth for Curve Data and Applications},
  journal={Journal of the American Statistical Association},
  year={2021},
  }

• L. Comminges, O. Collier, M. Ndaoud, and A. B. Tsybakov, “Adaptive robust estimation in sparse vector model,” Ann. statist., vol. 49, iss. 3, pp. 1347-1377, 2021.
  [Bibtex]

  @article{CoCoNdTs2021,
  author={L. Comminges and O. Collier and M. Ndaoud and A.B. Tsybakov},
  title={Adaptive robust estimation in sparse vector model},
  journal={Ann. Statist.},
  fjournal={Annals of Statistics},
  year={2021},
  volume={49},
  number={3},
  pages={1347-1377},
  issn={0090-5364},
  doi={10.1214/20-AOS2002},
  sici={0090-5364(2021)49:3<1347:AREISV>2.0.CO;2-H},
  url={https://arxiv.org/pdf/1802.04230.pdf},
  }

• V. E. Brunel, J. M. Klusowski, and D. Yang, “Estimation of convex supports from noisy measurements,” Bernoulli, vol. 27, iss. 2, pp. 772-793, 2021.
  [Bibtex]

  @ARTICLE{Brunel2021EstimationMeasurements,
  author={Victor Emmanuel Brunel and Jason M. Klusowski and Dana Yang},
  title={Estimation of convex supports from noisy measurements},
  journal={Bernoulli},
  year={2021},
  volume={27},
  number={2},
  pages={772-793},
  doi={10.3150/20-BEJ1229},
  }

• H. -P. Dang, M. Vimond, and S. Geffray, “Data-driven parameter choice for illumination artifact correction of digital images,” Ieee signal processing letters, vol. 28, pp. 155-159, 2021.
  [Bibtex]

  @ARTICLE{Dang2021155,
  author={Dang, H.-P. and Vimond, M. and Geffray, S.},
  title={Data-Driven Parameter Choice for Illumination Artifact Correction of Digital Images},
  journal={IEEE Signal Processing Letters},
  year={2021},
  volume={28},
  pages={155-159},
  doi={10.1109/LSP.2020.3047333},
  art_number={9306805},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098777351&doi=10.1109%2fLSP.2020.3047333&partnerID=40&md5=6a0ed14ffddaad3dd3fe94238d247283},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, S. Girard, and G. Stupfler, “Expecthill estimation, extreme risk and heavy tails,” Journal of econometrics, vol. 221, iss. 1, pp. 97-117, 2021.
  [Bibtex]

  @ARTICLE{Daouia202197,
  author={Daouia, A. and Girard, S. and Stupfler, G.},
  title={ExpectHill estimation, extreme risk and heavy tails},
  journal={Journal of Econometrics},
  year={2021},
  volume={221},
  number={1},
  pages={97-117},
  doi={10.1016/j.jeconom.2020.02.003},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081681725&doi=10.1016%2fj.jeconom.2020.02.003&partnerID=40&md5=0b6b3e55672e030a0e8e9238377318a2},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, I. Gijbels, and G. Stupfler, “Extremile regression,” Journal of the american statistical association, 2021.
  [Bibtex]

  @ARTICLE{Daouia2021,
  author={Daouia, A. and Gijbels, I. and Stupfler, G.},
  title={Extremile Regression},
  journal={Journal of the American Statistical Association},
  year={2021},
  doi={10.1080/01621459.2021.1875837},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102202340&doi=10.1080%2f01621459.2021.1875837&partnerID=40&md5=0905325d808967c2835722bd26c37ed5},
  document_type={Article},
  source={Scopus},
  }

• Z. M. Debaly and L. Truquet, “Iterations of dependent random maps and exogeneity in nonlinear dynamics,” Econometric theory, 2021.
  [Bibtex]

  @ARTICLE{Debaly2021,
  author={Debaly, Z.M. and Truquet, L.},
  title={Iterations of dependent random maps and exogeneity in nonlinear dynamics},
  journal={Econometric Theory},
  year={2021},
  doi={10.1017/S0266466620000559},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100584933&doi=10.1017%2fS0266466620000559&partnerID=40&md5=a28cd7086e931ad192bfb0f358fd70da},
  document_type={Article},
  source={Scopus},
  }

• M. Falk and G. Stupfler, “The min-characteristic function: characterizing distributions by their min-linear projections,” Sankhya a, vol. 83, iss. 1, pp. 254-282, 2021.
  [Bibtex]

  @ARTICLE{Falk2021254,
  author={Falk, M. and Stupfler, G.},
  title={The Min-characteristic Function: Characterizing Distributions by Their Min-linear Projections},
  journal={Sankhya A},
  year={2021},
  volume={83},
  number={1},
  pages={254-282},
  doi={10.1007/s13171-019-00184-1},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075619972&doi=10.1007%2fs13171-019-00184-1&partnerID=40&md5=0f564a979ea1a25092d6d39ab0adcb48},
  document_type={Article},
  source={Scopus},
  }

• B. de Loynes, F. Navarro, and B. Olivier, “Data-driven thresholding in denoising with spectral graph wavelet transform,” Journal of computational and applied mathematics, vol. 389, 2021.
  [Bibtex]

  @ARTICLE{deLoynes2021,
  author={de Loynes, B. and Navarro, F. and Olivier, B.},
  title={Data-driven thresholding in denoising with Spectral Graph Wavelet Transform},
  journal={Journal of Computational and Applied Mathematics},
  year={2021},
  volume={389},
  doi={10.1016/j.cam.2020.113319},
  art_number={113319},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098696939&doi=10.1016%2fj.cam.2020.113319&partnerID=40&md5=9a601579cfc0ee13fdb9bbe3120ee24d},
  document_type={Article},
  source={Scopus},
  }

• A. Dubois, T. Berrett, and C. Butucea, “Goodness-of-fit testing for Holder continuous densities under local differential privacy,” Arxiv preprint arxiv:2107.02439, 2021.
  [Bibtex]

  @article{dubois2021goodness,
  title={Goodness-of-fit testing for {H}older continuous densities under local differential privacy},
  author={Dubois, Amandine and Berrett, Thomas and Butucea, Cristina},
  journal={arXiv preprint arXiv:2107.02439},
  year={2021},
  }

• O. Catoni, M. Oliu-Barton, and B. Ziliotto, “Constant payoff in zero-sum stochastic games,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2021.
  [Bibtex]

  @article{catoni:hal-01936572,
  author={Catoni, Olivier and Oliu-Barton, Miquel and Ziliotto, Bruno},
  title={Constant payoff in zero-sum stochastic games},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2021},
  }

2020

• J. Chhor and A. Carpentier, “Sharp local minimax rates for goodness-of-fit testing in large random graphs, multivariate poisson families and multinomials,” Arxiv preprint arxiv:2012.13766, 2020.
  [Bibtex]

  @article{chhor2020sharp,
  title={Sharp Local Minimax Rates for Goodness-of-Fit Testing in Large Random Graphs, multivariate Poisson families and multinomials},
  author={Chhor, Julien and Carpentier, Alexandra},
  journal={arXiv preprint arXiv:2012.13766},
  year={2020},
  }

• T. B. Berrett and C. Butucea, “Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms,” Arxiv preprint arxiv:2005.12601, 2020.
  [Bibtex]

  @article{berrett2020locally,
  title={Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms},
  author={Berrett, Thomas B and Butucea, Cristina},
  journal={arXiv preprint arXiv:2005.12601},
  year={2020},
  }

• M. Heitz, N. Bonneel, D. Coeurjolly, M. Cuturi, and G. Peyre, “Ground metric learning on graphs,” Journal of mathematical imaging and vision, 2020.
  [Bibtex]

  @article{heitz:hal-02989081,
  author={Heitz, Matthieu and Bonneel, Nicolas and Coeurjolly, David and Cuturi, Marco and Peyre, Gabriel},
  title={Ground Metric Learning on Graphs},
  journal={Journal of Mathematical Imaging and Vision},
  year={2020},
  }

• A. Havet, M. Lerasle, eric Moulines, and E. Vernet, “A quantitative mcdiarmid’s inequality for geometrically ergodic markov chains,” Electronic communications in probability, 2020.
  [Bibtex]

  @article{havet:hal-02473182,
  author={Havet, Antoine and Lerasle, Matthieu and Moulines, eric and Vernet, Elodie},
  title={A quantitative McDiarmid's inequality for geometrically ergodic Markov chains},
  journal={Electronic Communications in Probability},
  year={2020},
  }

• A. Havet, M. Lerasle, eric Moulines, and E. Vernet, “A quantitative mc diarmid’s inequality for geometrically ergodic markov chains,” Electronic communications in probability, 2020.
  [Bibtex]

  @article{havet:hal-02177452,
  author={Havet, Antoine and Lerasle, Matthieu and Moulines, eric and Vernet, Elodie},
  title={A quantitative Mc Diarmid's inequality for geometrically ergodic Markov chains},
  journal={Electronic Communications in Probability},
  year={2020},
  }

• R. Diel, S. Le Corff, and M. Lerasle, “Learning the distribution of latent variables in paired comparison models with round-robin scheduling,” Bernoulli, 2020.
  [Bibtex]

  @article{diel:hal-03094519,
  author={Diel, Roland and Le Corff, Sylvain and Lerasle, Matthieu},
  title={Learning the distribution of latent variables in paired comparison models with round-robin scheduling},
  journal={Bernoulli},
  year={2020},
  }

• M. Du Roy De Chaumaray, M. Marbac, and F. Navarro, “Mixture of hidden markov models for accelerometer data,” Annals of applied statistics, 2020.
  [Bibtex]

  @article{duroydechaumaray:hal-02159581,
  author={Du Roy De Chaumaray, Marie and Marbac, Matthieu and Navarro, Fabien},
  title={Mixture of hidden Markov models for accelerometer data},
  journal={Annals of Applied Statistics},
  year={2020},
  }

• M. Du Roy De Chaumaray, M. Marbac, and F. Navarro, “Mixture of hidden markov models for accelerometer data,” Annals of applied statistics, 2020.
  [Bibtex]

  @article{duroydechaumaray:hal-02159581,
  author={Du Roy De Chaumaray, Marie and Marbac, Matthieu and Navarro, Fabien},
  title={Mixture of hidden Markov models for accelerometer data},
  journal={Annals of Applied Statistics},
  year={2020},
  }

• C. Chesneau, S. EL KOLEI, J. Kou, F. Navarro, and S. E. Kolei, “Nonparametric estimation in a regression model with additive and multiplicative noise,” Journal of computational and applied mathematics, 2020.
  [Bibtex]

  @article{chesneau:hal-02159579,
  author={Chesneau, Christophe and EL KOLEI, Salima and Kou, Junke and Navarro, Fabien and Kolei, Salima El},
  title={Nonparametric estimation in a regression model with additive and multiplicative noise},
  journal={Journal of Computational and Applied Mathematics},
  year={2020},
  }

• M. Mogliani and A. Simoni, “Bayesian midas penalized regressions: estimation, selection, and prediction,” Journal of econometrics, 2020.
  [Bibtex]

  @article{mogliani:hal-03089878,
  author={Mogliani, Matteo and Simoni, Anna},
  title={Bayesian MIDAS penalized regressions: Estimation, selection, and prediction},
  journal={Journal of Econometrics},
  year={2020},
  }

• C. Breunig, E. Mammen, and A. Simoni, “Ill-posed estimation in high-dimensional models with instrumental variables,” Journal of econometrics, 2020.
  [Bibtex]

  @article{breunig:hal-03089879,
  author={Breunig, Christoph and Mammen, Enno and Simoni, Anna},
  title={Ill-posed estimation in high-dimensional models with instrumental variables},
  journal={Journal of Econometrics},
  year={2020},
  }

• V. Briane, A. Salomon, M. Vimond, and C. Kervrann, “A computational approach for detecting microdomains and confinement domains in cells: a simulation study,” Physical biology, 2020.
  [Bibtex]

  @article{briane:hal-02424860,
  author={Briane, Vincent and Salomon, Antoine and Vimond, Myriam and Kervrann, Charles},
  title={A computational approach for detecting microdomains and confinement domains in cells: a simulation study},
  journal={Physical Biology},
  year={2020},
  }

• V. Briane, M. Vimond, and C. Kervrann, “An overview of diffusion models for intracellular dynamics analysis,” Briefings in bioinformatics, 2020.
  [Bibtex]

  @article{briane:hal-02424761,
  author={Briane, Vincent and Vimond, Myriam and Kervrann, Charles},
  title={An overview of diffusion models for intracellular dynamics analysis},
  journal={Briefings in Bioinformatics},
  year={2020},
  }

• D. Alvares, C. Armero, A. Forte, and N. Chopin, “Sequential monte carlo methods in bayesian joint models for longitudinal and time-to-event data,” Statistical modelling, 2020.
  [Bibtex]

  @ARTICLE{Alvares2020,
  author={Alvares, D. and Armero, C. and Forte, A. and Chopin, N.},
  title={Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data},
  journal={Statistical Modelling},
  year={2020},
  doi={10.1177/1471082X20916088},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085026214&doi=10.1177%2f1471082X20916088&partnerID=40&md5=d22dec4bef172f2f3e76ea7d2655b5a3},
  document_type={Article},
  source={Scopus},
  }

• A. -H. Bateni and A. S. Dalalyan, “Confidence regions and minimax rates in outlier-robust estimation on the probability simplex,” Electronic journal of statistics, vol. 14, iss. 2, pp. 2653-2677, 2020.
  [Bibtex]

  @ARTICLE{Bateni20202653,
  author={Bateni, A.-H. and Dalalyan, A.S.},
  title={Confidence regions and minimax rates in outlier-robust estimation on the probability simplex},
  journal={Electronic Journal of Statistics},
  year={2020},
  volume={14},
  number={2},
  pages={2653-2677},
  doi={10.1214/20-EJS1731},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088169633&doi=10.1214%2f20-EJS1731&partnerID=40&md5=fe9fb9cd08e5148bae142ae99b9217bd},
  document_type={Article},
  source={Scopus},
  }

• M. Benchoufi, E. Matzner-Lober, N. Molinari, A. -S. Jannot, and P. Soyer, “Interobserver agreement issues in radiology,” Diagnostic and interventional imaging, vol. 101, iss. 10, pp. 639-641, 2020.
  [Bibtex]

  @ARTICLE{Benchoufi2020639,
  author={Benchoufi, M. and Matzner-Lober, E. and Molinari, N. and Jannot, A.-S. and Soyer, P.},
  title={Interobserver agreement issues in radiology},
  journal={Diagnostic and Interventional Imaging},
  year={2020},
  volume={101},
  number={10},
  pages={639-641},
  doi={10.1016/j.diii.2020.09.001},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091058192&doi=10.1016%2fj.diii.2020.09.001&partnerID=40&md5=96fd42ad8c18c8031a3f741d458fe8c2},
  document_type={Article},
  source={Scopus},
  }

• M. Bereby-Kahane, R. Dautry, E. Matzner-Lober, F. Cornelis, D. Sebbag-Sfez, V. Place, M. Mezzadri, P. Soyer, and A. Dohan, “Prediction of tumor grade and lymphovascular space invasion in endometrial adenocarcinoma with mr imaging-based radiomic analysis,” Diagnostic and interventional imaging, vol. 101, iss. 6, pp. 401-411, 2020.
  [Bibtex]

  @ARTICLE{Bereby-Kahane2020401,
  author={Bereby-Kahane, M. and Dautry, R. and Matzner-Lober, E. and Cornelis, F. and Sebbag-Sfez, D. and Place, V. and Mezzadri, M. and Soyer, P. and Dohan, A.},
  title={Prediction of tumor grade and lymphovascular space invasion in endometrial adenocarcinoma with MR imaging-based radiomic analysis},
  journal={Diagnostic and Interventional Imaging},
  year={2020},
  volume={101},
  number={6},
  pages={401-411},
  doi={10.1016/j.diii.2020.01.003},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078978252&doi=10.1016%2fj.diii.2020.01.003&partnerID=40&md5=971ed7bdc064d3ef54ccc078cc63f6ce},
  document_type={Article},
  source={Scopus},
  }

• C. Breunig, E. Mammen, and A. Simoni, “Ill-posed estimation in high-dimensional models with instrumental variables,” Journal of econometrics, vol. 219, iss. 1, pp. 171-200, 2020.
  [Bibtex]

  @ARTICLE{Breunig2020171,
  author={Breunig, C. and Mammen, E. and Simoni, A.},
  title={Ill-posed estimation in high-dimensional models with instrumental variables},
  journal={Journal of Econometrics},
  year={2020},
  volume={219},
  number={1},
  pages={171-200},
  doi={10.1016/j.jeconom.2020.04.043},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089256045&doi=10.1016%2fj.jeconom.2020.04.043&partnerID=40&md5=a9717e8ba0cad53354e439a51428845d},
  document_type={Article},
  source={Scopus},
  }

• V. Briane, A. Salomon, M. Vimond, and C. Kervrann, “A computational approach for detecting micro-domains and confinement domains in cells: a simulation study,” Physical biology, vol. 17, iss. 2, 2020.
  [Bibtex]

  @ARTICLE{Briane2020,
  author={Briane, V. and Salomon, A. and Vimond, M. and Kervrann, C.},
  title={A computational approach for detecting micro-domains and confinement domains in cells: A simulation study},
  journal={Physical Biology},
  year={2020},
  volume={17},
  number={2},
  doi={10.1088/1478-3975/ab5e1d},
  art_number={025002},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079344581&doi=10.1088%2f1478-3975%2fab5e1d&partnerID=40&md5=88ef191c65d60f6df077ce0d12a01bf1},
  document_type={Article},
  source={Scopus},
  }

• V. Briane, M. Vimond, C. A. Valades-Cruz, A. Salomon, C. Wunder, and C. Kervrann, “A sequential algorithm to detect diffusion switching along intracellular particle trajectories,” Bioinformatics, vol. 36, iss. 1, pp. 317-329, 2020.
  [Bibtex]

  @ARTICLE{Briane2020317,
  author={Briane, V. and Vimond, M. and Valades-Cruz, C.A. and Salomon, A. and Wunder, C. and Kervrann, C.},
  title={A sequential algorithm to detect diffusion switching along intracellular particle trajectories},
  journal={Bioinformatics},
  year={2020},
  volume={36},
  number={1},
  pages={317-329},
  doi={10.1093/bioinformatics/btz489},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077791629&doi=10.1093%2fbioinformatics%2fbtz489&partnerID=40&md5=e0496f471825f4c04615233d99759cb3},
  document_type={Article},
  source={Scopus},
  }

• V. -E. Brunel, “Deviation inequalities for random polytopes in arbitrary convex bodies,” Bernoulli, vol. 26, iss. 4, pp. 2488-2502, 2020.
  [Bibtex]

  @ARTICLE{Brunel20202488,
  author={Brunel, V.-E.},
  title={Deviation inequalities for random polytopes in arbitrary convex bodies},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={4},
  pages={2488-2502},
  doi={10.3150/19-BEJ1164},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091233993&doi=10.3150%2f19-BEJ1164&partnerID=40&md5=c9dc7590cf19496195bbcae76cd194f1},
  document_type={Article},
  source={Scopus},
  }

• K. Burke and V. Patilea, “A likelihood-based approach for cure regression models,” Test, 2020.
  [Bibtex]

  @ARTICLE{Burke2020,
  author={Burke, K. and Patilea, V.},
  title={A likelihood-based approach for cure regression models},
  journal={Test},
  year={2020},
  doi={10.1007/s11749-020-00738-8},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096443392&doi=10.1007%2fs11749-020-00738-8&partnerID=40&md5=543ff14ba033b74baed0e6a8b6737788},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, A. Dubois, M. Kroll, and A. Saumard, “Local differential privacy: elbow effect in optimal density estimation and adaptation over besov ellipsoids,” Bernoulli, vol. 26, iss. 3, pp. 1727-1764, 2020.
  [Bibtex]

  @ARTICLE{Butucea20201727,
  author={Butucea, C. and Dubois, A. and Kroll, M. and Saumard, A.},
  title={Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={3},
  pages={1727-1764},
  doi={10.3150/19-BEJ1165},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091187918&doi=10.3150%2f19-BEJ1165&partnerID=40&md5=a553a71ab70c97f6dfa365d2aa4af54b},
  document_type={Article},
  source={Scopus},
  }

• M. R. de Chaumaray, M. Marbac, and F. Navarro, “Mixture of hidden markov models for accelerometer data,” Annals of applied statistics, vol. 14, iss. 4, pp. 1834-1855, 2020.
  [Bibtex]

  @ARTICLE{deChaumaray20201834,
  author={de Chaumaray, M.R. and Marbac, M. and Navarro, F.},
  title={Mixture of Hidden Markov models for accelerometer data},
  journal={Annals of Applied Statistics},
  year={2020},
  volume={14},
  number={4},
  pages={1834-1855},
  doi={10.1214/20-AOAS1375},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098132964&doi=10.1214%2f20-AOAS1375&partnerID=40&md5=356efd7143b6d8a3c5599df7e3af717a},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, S. El Kolei, J. Kou, and F. Navarro, “Nonparametric estimation in a regression model with additive and multiplicative noise,” Journal of computational and applied mathematics, vol. 380, 2020.
  [Bibtex]

  @ARTICLE{Chesneau2020,
  author={Chesneau, C. and El Kolei, S. and Kou, J. and Navarro, F.},
  title={Nonparametric estimation in a regression model with additive and multiplicative noise},
  journal={Journal of Computational and Applied Mathematics},
  year={2020},
  volume={380},
  doi={10.1016/j.cam.2020.112971},
  art_number={112971},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084834296&doi=10.1016%2fj.cam.2020.112971&partnerID=40&md5=cc96326b7a29229bbd0a186ab779cc4a},
  document_type={Article},
  source={Scopus},
  }

• G. Chinot, G. Lecue, and M. Lerasle, “Robust statistical learning with lipschitz and convex loss functions,” Probability theory and related fields, vol. 176, iss. 3-4, pp. 897-940, 2020.
  [Bibtex]

  @ARTICLE{Chinot2020897,
  author={Chinot, G. and Lecue, G. and Lerasle, M.},
  title={Robust statistical learning with Lipschitz and convex loss functions},
  journal={Probability Theory and Related Fields},
  year={2020},
  volume={176},
  number={3-4},
  pages={897-940},
  doi={10.1007/s00440-019-00931-3},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068777138&doi=10.1007%2fs00440-019-00931-3&partnerID=40&md5=a404db50db2f5f41de812154bc075ec5},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin and O. Papaspiliopoulos, An introduction to sequential monte carlo, Springer international publishing, 2020.
  [Bibtex]

  @BOOK{Chopin_2020,
  doi={10.1007/978-3-030-47845-2},
  url={https://doi.org/10.1007%2F978-3-030-47845-2},
  year=2020,
  publisher={Springer International Publishing},
  author={Nicolas Chopin and Omiros Papaspiliopoulos},
  title={An Introduction to Sequential Monte Carlo}
  }

• O. Collier, L. Comminges, and A. B. Tsybakov, “On estimation of nonsmooth functionals of sparse normal means,” Bernoulli, vol. 26, iss. 3, pp. 1989-2020, 2020.
  [Bibtex]

  @ARTICLE{Collier20201989,
  author={Collier, O. and Comminges, L. and Tsybakov, A.B.},
  title={On estimation of nonsmooth functionals of sparse normal means},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={3},
  pages={1989-2020},
  doi={10.3150/19-BEJ1180},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091139630&doi=10.3150%2f19-BEJ1180&partnerID=40&md5=f55115f95e7e0a5f5019d7f0e5818c0a},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and L. Riou-Durand, “On sampling from a log-concave density using kinetic langevin diffusions,” Bernoulli, vol. 26, iss. 3, pp. 1956-1988, 2020.
  [Bibtex]

  @ARTICLE{Dalalyan20201956,
  author={Dalalyan, A.S. and Riou-Durand, L.},
  title={On sampling from a log-concave density using kinetic Langevin diffusions},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={3},
  pages={1956-1988},
  doi={10.3150/19-BEJ1178},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091155335&doi=10.3150%2f19-BEJ1178&partnerID=40&md5=170cd248a1b45eb650ce382d250f1ca2},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, “Exponential weights in multivariate regression and a low-rankness favoring prior,” Annales de l’institut henri poincare (b) probability and statistics, vol. 56, iss. 2, pp. 1465-1483, 2020.
  [Bibtex]

  @ARTICLE{Dalalyan20201465,
  author={Dalalyan, A.S.},
  title={Exponential weights in multivariate regression and a low-rankness favoring prior},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2020},
  volume={56},
  number={2},
  pages={1465-1483},
  doi={10.1214/19-AIHP1010},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082518536&doi=10.1214%2f19-AIHP1010&partnerID=40&md5=88723744a0472d1726f079dbaf4c47ea},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, S. Girard, and G. Stupfler, “Tail expectile process and risk assessment,” Bernoulli, vol. 26, iss. 1, pp. 531-556, 2020.
  [Bibtex]

  @ARTICLE{Daouia2020531,
  author={Daouia, A. and Girard, S. and Stupfler, G.},
  title={Tail expectile process and risk assessment},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={1},
  pages={531-556},
  doi={10.3150/19-BEJ1137},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076542821&doi=10.3150%2f19-BEJ1137&partnerID=40&md5=6508a1a0a55dc4734af615f8eb122895},
  document_type={Article},
  source={Scopus},
  }

• C. Denis and M. Hebiri, “Consistency of plug-in confidence sets for classification in semi-supervised learning,” Journal of nonparametric statistics, vol. 32, iss. 1, pp. 42-72, 2020.
  [Bibtex]

  @ARTICLE{Denis202042,
  author={Denis, C. and Hebiri, M.},
  title={Consistency of plug-in confidence sets for classification in semi-supervised learning},
  journal={Journal of Nonparametric Statistics},
  year={2020},
  volume={32},
  number={1},
  pages={42-72},
  doi={10.1080/10485252.2019.1689241},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075158366&doi=10.1080%2f10485252.2019.1689241&partnerID=40&md5=fb86a4da6ba2fa27b82e9cb01f7104b7},
  document_type={Article},
  source={Scopus},
  }

• C. Findling, N. Chopin, and E. Koechlin, “Imprecise neural computations as a source of adaptive behaviour in volatile environments,” Nature human behaviour, 2020.
  [Bibtex]

  @ARTICLE{Findling2020,
  author={Findling, C. and Chopin, N. and Koechlin, E.},
  title={Imprecise neural computations as a source of adaptive behaviour in volatile environments},
  journal={Nature Human Behaviour},
  year={2020},
  doi={10.1038/s41562-020-00971-z},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095694929&doi=10.1038%2fs41562-020-00971-z&partnerID=40&md5=66d58c29446c84f9bee20987faa46dd3},
  document_type={Article},
  source={Scopus},
  }

• L. Gardes, S. Girard, and G. Stupfler, “Beyond tail median and conditional tail expectation: extreme risk estimation using tail lp-optimization,” Scandinavian journal of statistics, vol. 47, iss. 3, pp. 922-949, 2020.
  [Bibtex]

  @ARTICLE{Gardes2020922,
  author={Gardes, L. and Girard, S. and Stupfler, G.},
  title={Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp-optimization},
  journal={Scandinavian Journal of Statistics},
  year={2020},
  volume={47},
  number={3},
  pages={922-949},
  doi={10.1111/sjos.12433},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076749586&doi=10.1111%2fsjos.12433&partnerID=40&md5=be5fc9b47bd2f8c93820fec0d2b8a217},
  document_type={Article},
  source={Scopus},
  }

• S. Girard, G. Stupfler, and A. Usseglio-Carleve, “Nonparametric extreme conditional expectile estimation,” Scandinavian journal of statistics, 2020.
  [Bibtex]

  @ARTICLE{Girard2020,
  author={Girard, S. and Stupfler, G. and Usseglio-Carleve, A.},
  title={Nonparametric extreme conditional expectile estimation},
  journal={Scandinavian Journal of Statistics},
  year={2020},
  doi={10.1111/sjos.12502},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097404705&doi=10.1111%2fsjos.12502&partnerID=40&md5=b3e4b63a28ffa31a38964acfc3ea99af},
  document_type={Article},
  source={Scopus},
  }

• M. Heitz, N. Bonneel, D. Coeurjolly, M. Cuturi, and G. Peyre, “Ground metric learning on graphs,” Journal of mathematical imaging and vision, 2020.
  [Bibtex]

  @ARTICLE{Heitz2020,
  author={Heitz, M. and Bonneel, N. and Coeurjolly, D. and Cuturi, M. and Peyre, G.},
  title={Ground Metric Learning on Graphs},
  journal={Journal of Mathematical Imaging and Vision},
  year={2020},
  doi={10.1007/s10851-020-00996-z},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094860217&doi=10.1007%2fs10851-020-00996-z&partnerID=40&md5=18f8657897d0dc7bbf363c502e90eea9},
  document_type={Article},
  source={Scopus},
  }

• M. Hristache and V. Patilea, “Equivalent models for observables under the assumption of missing at random,” Econometrics and statistics, 2020.
  [Bibtex]

  @ARTICLE{Hristache2020,
  author={Hristache, M. and Patilea, V.},
  title={Equivalent models for observables under the assumption of missing at random},
  journal={Econometrics and Statistics},
  year={2020},
  doi={10.1016/j.ecosta.2020.03.002},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086123300&doi=10.1016%2fj.ecosta.2020.03.002&partnerID=40&md5=bf2ce1255d18a5f8bdbbf434af90cd21},
  document_type={Article},
  source={Scopus},
  }

• H. Janati, T. Bazeille, B. Thirion, M. Cuturi, and A. Gramfort, “Multi-subject meg/eeg source imaging with sparse multi-task regression,” Neuroimage, vol. 220, 2020.
  [Bibtex]

  @ARTICLE{Janati2020,
  author={Janati, H. and Bazeille, T. and Thirion, B. and Cuturi, M. and Gramfort, A.},
  title={Multi-subject MEG/EEG source imaging with sparse multi-task regression},
  journal={NeuroImage},
  year={2020},
  volume={220},
  doi={10.1016/j.neuroimage.2020.116847},
  art_number={116847},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088874247&doi=10.1016%2fj.neuroimage.2020.116847&partnerID=40&md5=d939ff0574dd2a859ae9542563eb8d4d},
  document_type={Article},
  source={Scopus},
  }

• J. Johannes, A. Simoni, and R. Schenk, “Adaptive bayesian estimation in indirect gaussian sequence space models,” Annals of economics and statistics, iss. 137, pp. 83-116, 2020.
  [Bibtex]

  @ARTICLE{Johannes202083,
  author={Johannes, J. and Simoni, A. and Schenk, R.},
  title={Adaptive bayesian estimation in indirect gaussian sequence space models},
  journal={Annals of Economics and Statistics},
  year={2020},
  number={137},
  pages={83-116},
  doi={10.15609/ANNAECONSTAT2009.137.0083},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085497022&doi=10.15609%2fANNAECONSTAT2009.137.0083&partnerID=40&md5=1bbdbed3f937a9153c857950e047eb30},
  document_type={Article},
  source={Scopus},
  }

• M. Lebret, D. Jaffuel, C. M. Suehs, J. -P. Mallet, L. Lambert, M. -C. Rotty, J. -L. Pepin, E. Matzner-Lober, N. Molinari, and J. -C. Borel, “Feasibility of type 3 polygraphy for evaluating leak determinants in cpap-treated osa patients: a step toward personalized leak management,” Chest, vol. 158, iss. 5, pp. 2165-2171, 2020.
  [Bibtex]

  @ARTICLE{Lebret20202165,
  author={Lebret, M. and Jaffuel, D. and Suehs, C.M. and Mallet, J.-P. and Lambert, L. and Rotty, M.-C. and Pepin, J.-L. and Matzner-Lober, E. and Molinari, N. and Borel, J.-C.},
  title={Feasibility of Type 3 Polygraphy for Evaluating Leak Determinants in CPAP-Treated OSA Patients: A Step Toward Personalized Leak Management},
  journal={Chest},
  year={2020},
  volume={158},
  number={5},
  pages={2165-2171},
  doi={10.1016/j.chest.2020.05.593},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093966743&doi=10.1016%2fj.chest.2020.05.593&partnerID=40&md5=e41150dbe62d9e58db9229576a085b2a},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, M. Lerasle, and T. Mathieu, “Correction to: robust classification via mom minimization (machine learning, (2020), 109, 8, (1635-1665), 10.1007/s10994-019-05863-6),” Machine learning, vol. 109, iss. 8, p. 1667, 2020.
  [Bibtex]

  @ARTICLE{Lecue20201667,
  author={Lecue, G. and Lerasle, M. and Mathieu, T.},
  title={Correction to: Robust classification via MOM minimization (Machine Learning, (2020), 109, 8, (1635-1665), 10.1007/s10994-019-05863-6)},
  journal={Machine Learning},
  year={2020},
  volume={109},
  number={8},
  pages={1667},
  doi={10.1007/s10994-020-05885-5},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086040466&doi=10.1007%2fs10994-020-05885-5&partnerID=40&md5=58f7c72df183dc7f334d256c519d6724},
  document_type={Erratum},
  source={Scopus},
  }

• G. Lecue, M. Lerasle, and T. Mathieu, “Robust classification via mom minimization,” Machine learning, vol. 109, iss. 8, pp. 1635-1665, 2020.
  [Bibtex]

  @ARTICLE{Lecue20201635,
  author={Lecue, G. and Lerasle, M. and Mathieu, T.},
  title={Robust classification via MOM minimization},
  journal={Machine Learning},
  year={2020},
  volume={109},
  number={8},
  pages={1635-1665},
  doi={10.1007/s10994-019-05863-6},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084219419&doi=10.1007%2fs10994-019-05863-6&partnerID=40&md5=1937702a4df26d81545bbe6a650df72f},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and M. Lerasle, “Robust machine learning by median-of-means: theory and practice,” Annals of statistics, vol. 48, iss. 2, pp. 906-931, 2020.
  [Bibtex]

  @ARTICLE{Lecue2020906,
  author={Lecue, G. and Lerasle, M.},
  title={Robust machine learning by median-of-means: Theory and practice},
  journal={Annals of Statistics},
  year={2020},
  volume={48},
  number={2},
  pages={906-931},
  doi={10.1214/19-AOS1828},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089583377&doi=10.1214%2f19-AOS1828&partnerID=40&md5=01a3c3fa11d53e6469929e11f16fa973},
  document_type={Article},
  source={Scopus},
  }

• S. Maistre and V. Patilea, “Testing for the significance of functional covariates,” Journal of multivariate analysis, vol. 179, 2020.
  [Bibtex]

  @ARTICLE{Maistre2020,
  author={Maistre, S. and Patilea, V.},
  title={Testing for the significance of functional covariates},
  journal={Journal of Multivariate Analysis},
  year={2020},
  volume={179},
  doi={10.1016/j.jmva.2020.104648},
  art_number={104648},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086336737&doi=10.1016%2fj.jmva.2020.104648&partnerID=40&md5=ada99fa36520e818cb865732bb5067f8},
  document_type={Article},
  source={Scopus},
  }

• P. L. de Micheaux, P. Mozharovskyi, and M. Vimond, “Depth for curve data and applications,” Journal of the american statistical association, 2020.
  [Bibtex]

  @ARTICLE{deMicheaux2020,
  author={de Micheaux, P.L. and Mozharovskyi, P. and Vimond, M.},
  title={Depth for Curve Data and Applications},
  journal={Journal of the American Statistical Association},
  year={2020},
  doi={10.1080/01621459.2020.1745815},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083838018&doi=10.1080%2f01621459.2020.1745815&partnerID=40&md5=166934788fb39556bb6dd17a6600a74f},
  document_type={Article},
  source={Scopus},
  }

• E. G. Mitchell, N. M. J. Crout, P. Wilson, A. T. A. Wood, and G. Stupfler, “Operating at the extreme: estimating the upper yield boundary of winter wheat production in commercial practice,” Royal society open science, vol. 7, iss. 4, 2020.
  [Bibtex]

  @ARTICLE{Mitchell2020,
  author={Mitchell, E.G. and Crout, N.M.J. and Wilson, P. and Wood, A.T.A. and Stupfler, G.},
  title={Operating at the extreme: Estimating the upper yield boundary of winter wheat production in commercial practice},
  journal={Royal Society Open Science},
  year={2020},
  volume={7},
  number={4},
  doi={10.1098/rsos.191919},
  art_number={191919},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084831534&doi=10.1098%2frsos.191919&partnerID=40&md5=40361a9b7bc92f6662f0d3740636cd65},
  document_type={Article},
  source={Scopus},
  }

• M. Mogliani and A. Simoni, “Bayesian midas penalized regressions: estimation, selection, and prediction,” Journal of econometrics, 2020.
  [Bibtex]

  @ARTICLE{Mogliani2020,
  author={Mogliani, M. and Simoni, A.},
  title={Bayesian MIDAS penalized regressions: Estimation, selection, and prediction},
  journal={Journal of Econometrics},
  year={2020},
  doi={10.1016/j.jeconom.2020.07.022},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089457836&doi=10.1016%2fj.jeconom.2020.07.022&partnerID=40&md5=a98b0f3a7bb20af6b2bcfa0b059b02f0},
  document_type={Article},
  source={Scopus},
  }

• M. Ndaoud and A. B. Tsybakov, “Optimal variable selection and adaptive noisy compressed sensing,” Ieee transactions on information theory, vol. 66, iss. 4, pp. 2517-2532, 2020.
  [Bibtex]

  @ARTICLE{Ndaoud20202517,
  author={Ndaoud, M. and Tsybakov, A.B.},
  title={Optimal variable selection and adaptive noisy compressed sensing},
  journal={IEEE Transactions on Information Theory},
  year={2020},
  volume={66},
  number={4},
  pages={2517-2532},
  doi={10.1109/TIT.2020.2965738},
  art_number={8955982},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082398767&doi=10.1109%2fTIT.2020.2965738&partnerID=40&md5=bc15fcf61b4397f753eef2e54bfcbfed},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea and C. Sánchez-Sellero, “Testing for lack-of-fit in functional regression models against general alternatives,” Journal of statistical planning and inference, vol. 209, pp. 229-251, 2020.
  [Bibtex]

  @ARTICLE{Patilea2020229,
  author={Patilea, V. and Sánchez-Sellero, C.},
  title={Testing for lack-of-fit in functional regression models against general alternatives},
  journal={Journal of Statistical Planning and Inference},
  year={2020},
  volume={209},
  pages={229-251},
  doi={10.1016/j.jspi.2020.04.002},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083459134&doi=10.1016%2fj.jspi.2020.04.002&partnerID=40&md5=e6f93a06979d5a6fada4c8f23cc931cb},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea and I. van Keilegom, “A general approach for cure models in survival analysis,” Annals of statistics, vol. 48, iss. 4, pp. 2323-2346, 2020.
  [Bibtex]

  @ARTICLE{Patilea20202323,
  author={Patilea, V. and van Keilegom, I.},
  title={A general approach for cure models in survival analysis},
  journal={Annals of Statistics},
  year={2020},
  volume={48},
  number={4},
  pages={2323-2346},
  doi={10.1214/19-AOS1889},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090445006&doi=10.1214%2f19-AOS1889&partnerID=40&md5=386a38413d3764c18b6495d7c99d1d3d},
  document_type={Article},
  source={Scopus},
  }

• N. Schreuder, V. Brunel, and A. Dalalyan, “A nonasymptotic law of iterated logarithm for general m-estimators,” , vol. 108, pp. 1331-1341, 2020.
  [Bibtex]

  @ARTICLE{pmlr-v108-dalalyan20a,
  title= {A nonasymptotic law of iterated logarithm for general M-estimators},
  author={Schreuder, Nicolas and Brunel, Victor-Emmanuel and Dalalyan, Arnak},
  booktitle= {Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics},
  pages= {1331-1341},
  year= {2020},
  editor= {Silvia Chiappa and Roberto Calandra},
  volume= {108},
  series= {Proceedings of Machine Learning Research},
  month= {26-28 Aug},
  publisher ={PMLR},
  pdf= {http://proceedings.mlr.press/v108/dalalyan20a/dalalyan20a.pdf},
  url= {http://proceedings.mlr.press/v108/dalalyan20a.html},
  }

• L. Truquet, “Coupling and perturbation techniques for categorical time series,” Bernoulli, vol. 26, iss. 4, pp. 3249-3279, 2020.
  [Bibtex]

  @ARTICLE{Truquet20203249,
  author={Truquet, L.},
  title={Coupling and perturbation techniques for categorical time series},
  journal={Bernoulli},
  year={2020},
  volume={26},
  number={4},
  pages={3249-3279},
  doi={10.3150/20-BEJ1225},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091224770&doi=10.3150%2f20-BEJ1225&partnerID=40&md5=13d93c67274654e84381a33e52be9e20},
  document_type={Article},
  source={Scopus},
  }

2019

• O. Collier and A. S. Dalalyan, “Multidimensional linear functional estimation in sparse gaussian models and robust estimation of the mean,” Electronic journal of statistics, 2019.
  [Bibtex]

  @article{collier:hal-01694889,
  author={Collier, Olivier and Dalalyan, Arnak S},
  title={Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean},
  journal={Electronic Journal of Statistics},
  year={2019},
  }

• E. Chzhen, M. Hebiri, and J. Salmon, “On lasso refitting strategies,” Bernoulli, 2019.
  [Bibtex]

  @article{chzhen:hal-01593888,
  author={Chzhen, Evgenii and Hebiri, Mohamed and Salmon, Joseph},
  title={On Lasso refitting strategies},
  journal={Bernoulli},
  year={2019},
  }

• G. Chinot, G. Lecue, and M. Lerasle, “Robust statistical learning with lipschitz and convex loss functions,” Probability theory and related fields, 2019.
  [Bibtex]

  @article{chinot:hal-01923033,
  author={Chinot, Geoffrey and Lecue, Guillaume and Lerasle, Matthieu},
  title={Robust Statistical learning with Lipschitz and convex loss functions},
  journal={Probability Theory and Related Fields},
  year={2019},
  }

• A. Havet, M. Lerasle, and eric Moulines, “Density estimation for rwre,” Mathematical methods of statistics, 2019.
  [Bibtex]

  @article{havet:hal-01815990,
  author={Havet, Antoine and Lerasle, Matthieu and Moulines, eric},
  title={Density estimation for RWRE},
  journal={Mathematical Methods of Statistics},
  year={2019},
  }

• S. Maistre and V. Patilea, “Nonparametric model checks of single-index assumptions,” Statistica sinica, 2019.
  [Bibtex]

  @article{maistre:hal-01089729,
  author={Maistre, Samuel and Patilea, Valentin},
  title={Nonparametric model checks of single-index assumptions},
  journal={Statistica Sinica},
  year={2019},
  }

• E. Boursier and V. Perchet, “Sic-mmab: synchronisation involves communication in multiplayer multi-armed bandits,” Nips proceedings, 2019.
  [Bibtex]

  @article{boursier:hal-02371008,
  author={Boursier, Etienne and Perchet, Vianney},
  title={SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits},
  journal={NIPS Proceedings},
  year={2019},
  }

• F. Jarboui, C. Gruson-Daniel, A. Durmus, V. Rocchisani, S. G. Ebongue, A. Depoux, W. Kirschenmann, V. Perchet, and S. Goulet Ebongue, “Markov decision process for mooc users behavioral inference.” , 2019.
  [Bibtex]

  @incollection{jarboui:hal-03089780,
  author={Jarboui, Firas and Gruson-Daniel, Celya and Durmus, Alain and Rocchisani, Vincent and Ebongue, Sophie-helene Goulet and Depoux, Anneliese and Kirschenmann, Wilfried and Perchet, Vianney and Goulet Ebongue, Sophie-Helene},
  title={Markov Decision Process for MOOC Users Behavioral Inference},
  journal={},
  year={2019},
  }

• V. Perchet and M. Quincampoix, “A differential game on wasserstein space. application to weak approachability with partial monitoring,” Journal of dynamics and games, 2019.
  [Bibtex]

  @article{perchet:hal-03089560,
  author={Perchet, Vianney and Quincampoix, Marc},
  title={A differential game on Wasserstein space. Application to weak approachability with partial monitoring},
  journal={Journal of Dynamics and Games},
  year={2019},
  }

• E. Hillion, O. Johnson, and A. Saumard, “An extremal property of the normal distribution, with a discrete analog,” Statistics and probability letters, 2019.
  [Bibtex]

  @article{hillion:hal-02113627,
  author={Hillion, Erwan and Johnson, Oliver and Saumard, Adrien},
  title={An extremal property of the normal distribution, with a discrete analog},
  journal={Statistics and Probability Letters},
  year={2019},
  }

• Y. Liao and A. Simoni, “Bayesian inference for partially identified smooth convex models,” Journal of econometrics, 2019.
  [Bibtex]

  @article{liao:hal-03089881,
  author={Liao, Yuan and Simoni, Anna},
  title={Bayesian inference for partially identified smooth convex models},
  journal={Journal of Econometrics},
  year={2019},
  }

• J. Florens and A. Simoni, “Gaussian processes and bayesian moment estimation,” Journal of business and economic statistics, 2019.
  [Bibtex]

  @article{florens:hal-02903252,
  author={Florens, Jean-Pierre and Simoni, Anna},
  title={Gaussian Processes and Bayesian Moment Estimation},
  journal={Journal of Business and Economic Statistics},
  year={2019},
  }

• L. Gardes and G. Stupfler, “An integrated functional weissman estimator for conditional extreme quantiles,” Revstat – statistical journal, 2019.
  [Bibtex]

  @article{gardes:hal-01362839,
  author={Gardes, Laurent and Stupfler, Gilles},
  title={An integrated functional Weissman estimator for conditional extreme quantiles},
  journal={REVSTAT - Statistical Journal},
  year={2019},
  }

• A. V. Nazin, A. S. Nemirovsky, A. B. Tsybakov, and A. B. Juditsky, “Algorithms of robust stochastic optimization based on mirror descent method,” Automation and remote control / avtomatika i telemekhanika, 2019.
  [Bibtex]

  @article{nazin:hal-02173931,
  author={Nazin, Alexander V. and Nemirovsky, Arkadi S and Tsybakov, Alexandre B. and Juditsky, Anatoli B.},
  title={Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method},
  journal={Automation and Remote Control / Avtomatika i Telemekhanika},
  year={2019},
  }

• V. Briane, M. Vimond, C. A. Valades-Cruz, A. Salomon, C. Wunder, and C. Kervrann, “A sequential algorithm to detect diffusion switching along intracellular particle trajectories,” Bioinformatics, 2019.
  [Bibtex]

  @article{briane:hal-02424777,
  author={Briane, Vincent and Vimond, Myriam and Valades-Cruz, Cesar Augusto and Salomon, Antoine and Wunder, Christian and Kervrann, Charles},
  title={A sequential algorithm to detect diffusion switching along intracellular particle trajectories},
  journal={Bioinformatics},
  year={2019},
  }

• P. Abbal, J. -M. Sablayrolles, E. Matzner-Lober, and A. Carbonneau, “A model for predicting wine quality in a rhone valley vineyard,” Agronomy journal, vol. 111, iss. 2, pp. 545-554, 2019.
  [Bibtex]

  @ARTICLE{Abbal2019545,
  author={Abbal, P. and Sablayrolles, J.-M. and Matzner-Lober, E. and Carbonneau, A.},
  title={A model for predicting wine quality in a rhone valley vineyard},
  journal={Agronomy Journal},
  year={2019},
  volume={111},
  number={2},
  pages={545-554},
  doi={10.2134/agronj2018.04.0269},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065303659&doi=10.2134%2fagronj2018.04.0269&partnerID=40&md5=d88b48c89d2969a748c3e5853d19df5e},
  document_type={Article},
  source={Scopus},
  }

• P. Alquier, V. Cottet, and G. Lecue, “Estimation bounds and sharp oracle inequalities of regularized procedures with lipschitz loss functions,” Annals of statistics, vol. 47, iss. 4, pp. 2117-2144, 2019.
  [Bibtex]

  @ARTICLE{Alquier20192117,
  author={Alquier, P. and Cottet, V. and Lecue, G.},
  title={Estimation bounds and sharp oracle inequalities of regularized procedures with lipschitz loss functions},
  journal={Annals of Statistics},
  year={2019},
  volume={47},
  number={4},
  pages={2117-2144},
  doi={10.1214/18-AOS1742},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072240906&doi=10.1214%2f18-AOS1742&partnerID=40&md5=48f4770031923bf74ac8ac37efebe49f},
  document_type={Article},
  source={Scopus},
  }

• J. Altschuler, V. E. Brunel, and A. Malek, “Best arm identification for contaminated bandits,” Journal of machine learning research, vol. 20, iss. None, p. -, 2019.
  [Bibtex]

  @ARTICLE{Altschuler2019BestBandits,
  author={Jason Altschuler and Victor Emmanuel Brunel and Alan Malek},
  title={Best arm identification for contaminated bandits},
  journal={Journal of Machine Learning Research},
  year={2019},
  volume={20},
  number={None},
  pages={-},}

• J. Altschuler, V. -E. Brunel, and A. Malek, “Best arm identification for contaminated bandits,” Journal of machine learning research, vol. 20, 2019.
  [Bibtex]

  @ARTICLE{Altschuler2019,
  author={Altschuler, J. and Brunel, V.-E. and Malek, A.},
  title={Best arm identification for contaminated bandits},
  journal={Journal of Machine Learning Research},
  year={2019},
  volume={20},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072600530&partnerID=40&md5=6002359eca5b5aaaae24125c0c1230d5},
  document_type={Article},
  source={Scopus},
  }

• S. -I. Amari, R. Karakida, M. Oizumi, and M. Cuturi, “Information geometry for regularized optimal transport and barycenters of patterns,” Neural computation, vol. 31, iss. 5, pp. 827-848, 2019.
  [Bibtex]

  @ARTICLE{Amari2019827,
  author={Amari, S.-I. and Karakida, R. and Oizumi, M. and Cuturi, M.},
  title={Information geometry for regularized optimal transport and barycenters of patterns},
  journal={Neural Computation},
  year={2019},
  volume={31},
  number={5},
  pages={827-848},
  doi={10.1162/neco_a_01178},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064431208&doi=10.1162%2fneco_a_01178&partnerID=40&md5=f8d80051ffc0e746208a5fe4a39ab5cb},
  document_type={Article},
  source={Scopus},
  }

• D. Belomestny, M. Trabs, and A. B. Tsybakov, “Sparse covariance matrix estimation in high-dimensional deconvolution,” Bernoulli, vol. 25, iss. 3, pp. 1901-1938, 2019.
  [Bibtex]

  @ARTICLE{Belomestny20191901,
  author={Belomestny, D. and Trabs, M. and Tsybakov, A.B.},
  title={Sparse covariance matrix estimation in high-dimensional deconvolution},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={3},
  pages={1901-1938},
  doi={10.3150/18-BEJ1040A},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069733380&doi=10.3150%2f18-BEJ1040A&partnerID=40&md5=10a3cdf8fc0bd15c48ca8edc638a9f0e},
  document_type={Article},
  source={Scopus},
  }

• V. Briane, M. Vimond, and C. Kervrann, “An overview of diffusion models for intracellular dynamics analysis,” Briefings in bioinformatics, vol. 21, iss. 4, pp. 1136-1150, 2019.
  [Bibtex]

  @ARTICLE{Briane20191136,
  author={Briane, V. and Vimond, M. and Kervrann, C.},
  title={An overview of diffusion models for intracellular dynamics analysis},
  journal={Briefings in Bioinformatics},
  year={2019},
  volume={21},
  number={4},
  pages={1136-1150},
  doi={10.1093/bib/bbz052},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082753657&doi=10.1093%2fbib%2fbbz052&partnerID=40&md5=9568fb73f00d3099378e36712b63cf00},
  document_type={Review},
  source={Scopus},
  }

• V. -E. Brunel, “Concentration of the empirical level sets of tukey’s halfspace depth,” Probability theory and related fields, vol. 173, iss. 3-4, pp. 1165-1196, 2019.
  [Bibtex]

  @ARTICLE{Brunel20191165,
  author={Brunel, V.-E.},
  title={Concentration of the empirical level sets of Tukey's halfspace depth},
  journal={Probability Theory and Related Fields},
  year={2019},
  volume={173},
  number={3-4},
  pages={1165-1196},
  doi={10.1007/s00440-018-0850-0},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046716571&doi=10.1007%2fs00440-018-0850-0&partnerID=40&md5=50fbca98d991ca506097e4afa9044472},
  document_type={Article},
  source={Scopus},
  }

• V. -E. Brunel, “Uniform behaviors of random polytopes under the hausdorff metric,” Bernoulli, vol. 25, iss. 3, pp. 1770-1793, 2019.
  [Bibtex]

  @ARTICLE{Brunel20191770,
  author={Brunel, V.-E.},
  title={Uniform behaviors of random polytopes under the Hausdorff metric},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={3},
  pages={1770-1793},
  doi={10.3150/18-BEJ1035},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069734417&doi=10.3150%2f18-BEJ1035&partnerID=40&md5=2d307405c35934993946c9934b7a60f0},
  document_type={Article},
  source={Scopus},
  }

• A. Buchholz and N. Chopin, “Improving approximate bayesian computation via quasi-monte carlo,” Journal of computational and graphical statistics, vol. 28, iss. 1, pp. 205-219, 2019.
  [Bibtex]

  @ARTICLE{Buchholz2019205,
  author={Buchholz, A. and Chopin, N.},
  title={Improving Approximate Bayesian Computation via Quasi-Monte Carlo},
  journal={Journal of Computational and Graphical Statistics},
  year={2019},
  volume={28},
  number={1},
  pages={205-219},
  doi={10.1080/10618600.2018.1497511},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055267217&doi=10.1080%2f10618600.2018.1497511&partnerID=40&md5=624a273eb9f9c37ce449cdf5e837cfe3},
  document_type={Article},
  source={Scopus},
  }

• A. Carpentier, O. Collier, L. Comminges, A. B. Tsybakov, and Y. Wang, “Minimax rate of testing in sparse linear regression,” Automation and remote control, vol. 80, iss. 10, pp. 1817-1834, 2019.
  [Bibtex]

  @ARTICLE{Carpentier20191817,
  author={Carpentier, A. and Collier, O. and Comminges, L. and Tsybakov, A.B. and Wang, Y.},
  title={Minimax Rate of Testing in Sparse Linear Regression},
  journal={Automation and Remote Control},
  year={2019},
  volume={80},
  number={10},
  pages={1817-1834},
  doi={10.1134/S0005117919100047},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073621680&doi=10.1134%2fS0005117919100047&partnerID=40&md5=81b5e0faa8b3640a6797637dd50dc06e},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau and F. Navarro, “On some applicable approximations of gaussian type integrals,” Journal of mathematical modeling, vol. 7, iss. 2, pp. 221-229, 2019.
  [Bibtex]

  @ARTICLE{Chesneau2019221,
  author={Chesneau, C. and Navarro, F.},
  title={On some applicable approximations of gaussian type integrals},
  journal={Journal of Mathematical Modeling},
  year={2019},
  volume={7},
  number={2},
  pages={221-229},
  doi={10.22124/jmm.2019.12897.1250},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069679118&doi=10.22124%2fjmm.2019.12897.1250&partnerID=40&md5=9f07c21b93d88630381664dbb47a9c32},
  document_type={Article},
  source={Scopus},
  }

• O. Church, E. Derclaye, and G. Stupfler, “An empirical analysis of the design case law of the eu member states,” Iic international review of intellectual property and competition law, vol. 50, iss. 6, pp. 685-719, 2019.
  [Bibtex]

  @ARTICLE{Church2019685,
  author={Church, O. and Derclaye, E. and Stupfler, G.},
  title={An Empirical Analysis of the Design Case Law of the EU Member States},
  journal={IIC International Review of Intellectual Property and Competition Law},
  year={2019},
  volume={50},
  number={6},
  pages={685-719},
  doi={10.1007/s40319-019-00813-0},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064662585&doi=10.1007%2fs40319-019-00813-0&partnerID=40&md5=0f0975bf2a159866e4ef160767d11e08},
  document_type={Article},
  source={Scopus},
  }

• E. Chzhen, M. Hebiri, and J. Salmon, “On lasso refitting strategies,” Bernoulli, vol. 25, iss. 4 A, pp. 3175-3200, 2019.
  [Bibtex]

  @ARTICLE{Chzhen20193175,
  author={Chzhen, E. and Hebiri, M. and Salmon, J.},
  title={On Lasso refitting strategies},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={4 A},
  pages={3175-3200},
  doi={10.3150/18-BEJ1085},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072317247&doi=10.3150%2f18-BEJ1085&partnerID=40&md5=59ded47d71ee11d2a86e784fe08683cc},
  document_type={Article},
  source={Scopus},
  }

• O. Collier and A. S. Dalalyan, “Multidimensional linear functional estimation in sparse gaussian models and robust estimation of the mean,” Electronic journal of statistics, vol. 13, iss. 2, pp. 2830-2864, 2019.
  [Bibtex]

  @ARTICLE{Collier20192830,
  author={Collier, O. and Dalalyan, A.S.},
  title={Multidimensional linear functional estimation in sparse Gaussian models and robust estimation of the mean},
  journal={Electronic Journal of Statistics},
  year={2019},
  volume={13},
  number={2},
  pages={2830-2864},
  doi={10.1214/19-EJS1590},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073359975&doi=10.1214%2f19-EJS1590&partnerID=40&md5=aedccb3278835c8bc811ca0df47b5984},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and A. Karagulyan, “User-friendly guarantees for the langevin monte carlo with inaccurate gradient,” Stochastic processes and their applications, vol. 129, iss. 12, pp. 5278-5311, 2019.
  [Bibtex]

  @ARTICLE{Dalalyan20195278,
  author={Dalalyan, A.S. and Karagulyan, A.},
  title={User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient},
  journal={Stochastic Processes and their Applications},
  year={2019},
  volume={129},
  number={12},
  pages={5278-5311},
  doi={10.1016/j.spa.2019.02.016},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062981328&doi=10.1016%2fj.spa.2019.02.016&partnerID=40&md5=ec48fdd466f9029a7bd9b2e7af8d979c},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, I. Gijbels, and G. Stupfler, “Extremiles: a new perspective on asymmetric least squares,” Journal of the american statistical association, vol. 114, iss. 527, pp. 1366-1381, 2019.
  [Bibtex]

  @ARTICLE{Daouia20191366,
  author={Daouia, A. and Gijbels, I. and Stupfler, G.},
  title={Extremiles: A New Perspective on Asymmetric Least Squares},
  journal={Journal of the American Statistical Association},
  year={2019},
  volume={114},
  number={527},
  pages={1366-1381},
  doi={10.1080/01621459.2018.1498348},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055675447&doi=10.1080%2f01621459.2018.1498348&partnerID=40&md5=a83f32e0c94313ea581bf5be489f8cbc},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, S. Girard, and G. Stupfler, “Extreme m-quantiles as risk measures: from l1 to lp optimization,” Bernoulli, vol. 25, iss. 1, pp. 264-309, 2019.
  [Bibtex]

  @ARTICLE{Daouia2019264,
  author={Daouia, A. and Girard, S. and Stupfler, G.},
  title={Extreme M-quantiles as risk measures: From L1 to Lp optimization},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={1},
  pages={264-309},
  doi={10.3150/17-BEJ987},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058492623&doi=10.3150%2f17-BEJ987&partnerID=40&md5=24da685a15b769de53d1263b2a1369ce},
  document_type={Article},
  source={Scopus},
  }

• J. -P. Florens and A. Simoni, “Gaussian processes and bayesian moment estimation,” Journal of business and economic statistics, 2019.
  [Bibtex]

  @ARTICLE{Florens2019,
  author={Florens, J.-P. and Simoni, A.},
  title={Gaussian Processes and Bayesian Moment Estimation},
  journal={Journal of Business and Economic Statistics},
  year={2019},
  doi={10.1080/07350015.2019.1668799},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074474542&doi=10.1080%2f07350015.2019.1668799&partnerID=40&md5=10bea6fa478f68ce3bd1a3fb3613727d},
  document_type={Article},
  source={Scopus},
  }

• K. Fokianos and L. Truquet, “On categorical time series models with covariates,” Stochastic processes and their applications, vol. 129, iss. 9, pp. 3446-3462, 2019.
  [Bibtex]

  @ARTICLE{Fokianos20193446,
  author={Fokianos, K. and Truquet, L.},
  title={On categorical time series models with covariates},
  journal={Stochastic Processes and their Applications},
  year={2019},
  volume={129},
  number={9},
  pages={3446-3462},
  doi={10.1016/j.spa.2018.09.012},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055269249&doi=10.1016%2fj.spa.2018.09.012&partnerID=40&md5=647e6aa06656845400becc11a0250fb1},
  document_type={Article},
  source={Scopus},
  }

• L. Gardes and G. Stupfler, “An integrated functional weissman estimator for conditional extreme quantiles,” Revstat statistical journal, vol. 17, iss. 1, pp. 109-144, 2019.
  [Bibtex]

  @ARTICLE{Gardes2019AnQuantiles,
  author={Laurent Gardes and Gilles Stupfler},
  title={An integrated functional weissman estimator for conditional extreme quantiles},
  journal={Revstat Statistical Journal},
  year={2019},
  volume={17},
  number={1},
  pages={109-144},
  }

• L. Gardes and G. Stupfler, “An integrated functional weissman estimator for conditional extreme quantiles,” Revstat statistical journal, vol. 17, iss. 1, pp. 109-144, 2019.
  [Bibtex]

  @ARTICLE{Gardes2019109,
  author={Gardes, L. and Stupfler, G.},
  title={An integrated functional weissman estimator for conditional extreme quantiles},
  journal={Revstat Statistical Journal},
  year={2019},
  volume={17},
  number={1},
  pages={109-144},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065474497&partnerID=40&md5=b464505599e29fe586b0d8979c6c4a96},
  document_type={Article},
  source={Scopus},
  }

• M. Gerber, N. Chopin, and N. Whiteley, “Negative association, ordering and convergence of resampling methods,” Annals of statistics, vol. 47, iss. 4, pp. 2236-2260, 2019.
  [Bibtex]

  @ARTICLE{Gerber20192236,
  author={Gerber, M. and Chopin, N. and Whiteley, N.},
  title={Negative association, ordering and convergence of resampling methods},
  journal={Annals of Statistics},
  year={2019},
  volume={47},
  number={4},
  pages={2236-2260},
  doi={10.1214/18-AOS1746},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061910085&doi=10.1214%2f18-AOS1746&partnerID=40&md5=4aa56d7e4b4da9c6937a5e0bbf143736},
  document_type={Article},
  source={Scopus},
  }

• A. Havet, M. Lerasle, and e. Moulines, “Density estimation for rwre,” Mathematical methods of statistics, vol. 28, iss. 1, pp. 18-38, 2019.
  [Bibtex]

  @ARTICLE{Havet201918,
  author={Havet, A. and Lerasle, M. and Moulines, e.},
  title={Density Estimation for RWRE},
  journal={Mathematical Methods of Statistics},
  year={2019},
  volume={28},
  number={1},
  pages={18-38},
  doi={10.3103/S1066530719010022},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065259957&doi=10.3103%2fS1066530719010022&partnerID=40&md5=4657f1c942049eedb47791cd56a0f71b},
  document_type={Article},
  source={Scopus},
  }

• E. Hillion, O. Johnson, and A. Saumard, “An extremal property of the normal distribution, with a discrete analog,” Statistics and probability letters, vol. 145, pp. 181-186, 2019.
  [Bibtex]

  @ARTICLE{Hillion2019181,
  author={Hillion, E. and Johnson, O. and Saumard, A.},
  title={An extremal property of the normal distribution, with a discrete analog},
  journal={Statistics and Probability Letters},
  year={2019},
  volume={145},
  pages={181-186},
  doi={10.1016/j.spl.2018.08.018},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054804365&doi=10.1016%2fj.spl.2018.08.018&partnerID=40&md5=28cdc184bc7015ab2d8046a2d2aa2be0},
  document_type={Article},
  source={Scopus},
  }

• M. Hristache and V. Patilea, “An equivalence result for moment equations when data are missing at random,” Statistical theory and related fields, vol. 3, iss. 2, pp. 199-207, 2019.
  [Bibtex]

  @ARTICLE{Hristache2019199,
  author={Hristache, M. and Patilea, V.},
  title={An equivalence result for moment equations when data are missing at random},
  journal={Statistical Theory and Related Fields},
  year={2019},
  volume={3},
  number={2},
  pages={199-207},
  doi={10.1080/24754269.2019.1672021},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074025927&doi=10.1080%2f24754269.2019.1672021&partnerID=40&md5=0eacf95a4271975130892635cd01bf05},
  document_type={Article},
  source={Scopus},
  }

• H. Janati, T. Bazeille, B. Thirion, M. Cuturi, and A. Gramfort, “Group level meg/eeg source imaging via optimal transport: minimum wasserstein estimates,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11492 LNCS, pp. 743-754, 2019.
  [Bibtex]

  @ARTICLE{Janati2019743,
  author={Janati, H. and Bazeille, T. and Thirion, B. and Cuturi, M. and Gramfort, A.},
  title={Group Level MEG/EEG Source Imaging via Optimal Transport: Minimum Wasserstein Estimates},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2019},
  volume={11492 LNCS},
  pages={743-754},
  doi={10.1007/978-3-030-20351-1_58},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066153626&doi=10.1007%2f978-3-030-20351-1_58&partnerID=40&md5=cb2e8c0183fc5378dcdc2de1b2e8390a},
  document_type={Conference Paper},
  source={Scopus},
  }

• F. Jarboui, C. Gruson-Daniel, A. Durmus, V. Rocchisani, S. -H. Goulet Ebongue, A. Depoux, W. Kirschenmann, and V. Perchet, “Markov decision process for mooc users behavioral inference,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 11475 LNCS, pp. 70-80, 2019.
  [Bibtex]

  @ARTICLE{Jarboui201970,
  author={Jarboui, F. and Gruson-Daniel, C. and Durmus, A. and Rocchisani, V. and Goulet Ebongue, S.-H. and Depoux, A. and Kirschenmann, W. and Perchet, V.},
  title={Markov decision process for MOOC users behavioral inference},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2019},
  volume={11475 LNCS},
  pages={70-80},
  doi={10.1007/978-3-030-19875-6_9},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065913448&doi=10.1007%2f978-3-030-19875-6_9&partnerID=40&md5=7ae40be25ba5d08eccaa70a6bebf151e},
  document_type={Conference Paper},
  source={Scopus},
  }

• O. Klopp, Y. Lu, A. B. Tsybakov, and H. H. Zhou, “Structured matrix estimation and completion,” Bernoulli, vol. 25, iss. 4B, pp. 3883-3911, 2019.
  [Bibtex]

  @ARTICLE{Klopp20193883,
  author={Klopp, O. and Lu, Y. and Tsybakov, A.B. and Zhou, H.H.},
  title={Structured matrix estimation and completion},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={4B},
  pages={3883-3911},
  doi={10.3150/19-BEJ1114},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073073915&doi=10.3150%2f19-BEJ1114&partnerID=40&md5=ed7238ecb9bc9ae7bed3e94b4ee4e9db},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and M. Lerasle, “Learning from mom’s principles: le cam’s approach,” Stochastic processes and their applications, vol. 129, iss. 11, pp. 4385-4410, 2019.
  [Bibtex]

  @ARTICLE{Lecue20194385,
  author={Lecue, G. and Lerasle, M.},
  title={Learning from MOM's principles: Le Cam's approach},
  journal={Stochastic Processes and their Applications},
  year={2019},
  volume={129},
  number={11},
  pages={4385-4410},
  doi={10.1016/j.spa.2018.11.024},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059237150&doi=10.1016%2fj.spa.2018.11.024&partnerID=40&md5=d3fc3930ab4e9abac6100f094c35aa12},
  document_type={Article},
  source={Scopus},
  }

• Y. Liao and A. Simoni, “Bayesian inference for partially identified smooth convex models,” Journal of econometrics, vol. 211, iss. 2, pp. 338-360, 2019.
  [Bibtex]

  @ARTICLE{Liao2019338,
  author={Liao, Y. and Simoni, A.},
  title={Bayesian inference for partially identified smooth convex models},
  journal={Journal of Econometrics},
  year={2019},
  volume={211},
  number={2},
  pages={338-360},
  doi={10.1016/j.jeconom.2019.03.001},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063447871&doi=10.1016%2fj.jeconom.2019.03.001&partnerID=40&md5=3d856dc46bd139ce9c1bc2ed8e7d1f1c},
  document_type={Article},
  source={Scopus},
  }

• S. Maistre and V. Patilea, “Nonparametric model checks of single-index assumptions,” Statistica sinica, vol. 29, iss. 1, pp. 113-138, 2019.
  [Bibtex]

  @ARTICLE{Maistre2019113,
  author={Maistre, S. and Patilea, V.},
  title={Nonparametric model checks of single-index assumptions},
  journal={Statistica Sinica},
  year={2019},
  volume={29},
  number={1},
  pages={113-138},
  doi={10.5705/ss.202015.0337},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061276756&doi=10.5705%2fss.202015.0337&partnerID=40&md5=5115cc16306b60f69f6603af36365799},
  document_type={Article},
  source={Scopus},
  }

• A. V. Nazin, A. S. Nemirovsky, A. B. Tsybakov, and A. B. Juditsky, “Algorithms of robust stochastic optimization based on mirror descent method,” Automation and remote control, vol. 80, iss. 9, pp. 1607-1627, 2019.
  [Bibtex]

  @ARTICLE{Nazin20191607,
  author={Nazin, A.V. and Nemirovsky, A.S. and Tsybakov, A.B. and Juditsky, A.B.},
  title={Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method},
  journal={Automation and Remote Control},
  year={2019},
  volume={80},
  number={9},
  pages={1607-1627},
  doi={10.1134/S0005117919090042},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072963520&doi=10.1134%2fS0005117919090042&partnerID=40&md5=472eee4f5daa78097b7e0945fa5b41ca},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet and M. Quincampoix, “A differential game on wasserstein space. application to weak approachability with partial monitoring,” Journal of dynamics and games, vol. 6, iss. 1, pp. 65-85, 2019.
  [Bibtex]

  @ARTICLE{Perchet201965,
  author={Perchet, V. and Quincampoix, M.},
  title={A differential game on Wasserstein space. Application to weak approachability with partial monitoring},
  journal={Journal of Dynamics and Games},
  year={2019},
  volume={6},
  number={1},
  pages={65-85},
  doi={10.3934/jdg.2019005},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062519377&doi=10.3934%2fjdg.2019005&partnerID=40&md5=2b960c92c16a895b4a62a06123307fbe},
  document_type={Article},
  source={Scopus},
  }

• G. Peyre and M. Cuturi, “Computational optimal transport,” Foundations and trends in machine learning, vol. 11, iss. 5-6, pp. 1-257, 2019.
  [Bibtex]

  @ARTICLE{Peyre20191,
  author={Peyre, G. and Cuturi, M.},
  title={Computational optimal transport},
  journal={Foundations and Trends in Machine Learning},
  year={2019},
  volume={11},
  number={5-6},
  pages={1-257},
  doi={10.1561/2200000073},
  note={cited By 86},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061557059&doi=10.1561%2f2200000073&partnerID=40&md5=d30d729fe2a4972781fa3e5d72d74a70},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard, “Bi-log-concavity: some properties and some remarks towards a multi-dimensional extension,” Electronic communications in probability, vol. 24, pp. 1-8, 2019.
  [Bibtex]

  @ARTICLE{Saumard20191,
  author={Saumard, A.},
  title={Bi-log-concavity: Some properties and some remarks towards a multi-dimensional extension},
  journal={Electronic Communications in Probability},
  year={2019},
  volume={24},
  pages={1-8},
  doi={10.1214/19-ECP266},
  art_number={61},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073534553&doi=10.1214%2f19-ECP266&partnerID=40&md5=c1b1ff83c07f1e40f731141969b5f999},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard, “Weighted poincare inequalities, concentration inequalities and tail bounds related to stein kernels in dimension one,” Bernoulli, vol. 25, iss. 4B, pp. 3978-4006, 2019.
  [Bibtex]

  @ARTICLE{Saumard20193978,
  author={Saumard, A.},
  title={Weighted Poincare inequalities, concentration inequalities and tail bounds related to Stein kernels in dimension one},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={4B},
  pages={3978-4006},
  doi={10.3150/19-BEJ1117},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073053217&doi=10.3150%2f19-BEJ1117&partnerID=40&md5=b329bcec715ee5cfe5bf9f976ebac7fe},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard and J. A. Wellner, “On the isoperimetric constant, covariance inequalities and lp-poincare inequalities in dimension one,” Bernoulli, vol. 25, iss. 3, pp. 1794-1815, 2019.
  [Bibtex]

  @ARTICLE{Saumard20191794,
  author={Saumard, A. and Wellner, J.A.},
  title={On the isoperimetric constant, covariance inequalities and Lp-Poincare inequalities in dimension one},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={3},
  pages={1794-1815},
  doi={10.3150/18-BEJ1036},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069678551&doi=10.3150%2f18-BEJ1036&partnerID=40&md5=19e694bf54385672b657c079ef03abc5},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails,” Extremes, vol. 22, iss. 4, pp. 749-769, 2019.
  [Bibtex]

  @ARTICLE{Stupfler2019749,
  author={Stupfler, G.},
  title={On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails},
  journal={Extremes},
  year={2019},
  volume={22},
  number={4},
  pages={749-769},
  doi={10.1007/s10687-019-00351-5},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066469584&doi=10.1007%2fs10687-019-00351-5&partnerID=40&md5=54085237d8dffbb2509e19d13a603842},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “On the study of extremes with dependent random right-censoring,” Extremes, vol. 22, iss. 1, pp. 97-129, 2019.
  [Bibtex]

  @ARTICLE{Stupfler201997,
  author={Stupfler, G.},
  title={On the study of extremes with dependent random right-censoring},
  journal={Extremes},
  year={2019},
  volume={22},
  number={1},
  pages={97-129},
  doi={10.1007/s10687-018-0328-6},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049007249&doi=10.1007%2fs10687-018-0328-6&partnerID=40&md5=9e95f61b9ab9d7dd06ca1c68f46a7dc3},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “Root-n consistent estimation of the marginal density in semiparametric autoregressive time series models,” Bernoulli, vol. 25, iss. 3, pp. 2107-2136, 2019.
  [Bibtex]

  @ARTICLE{Truquet20192107,
  author={Truquet, L.},
  title={Root-n consistent estimation of the marginal density in semiparametric autoregressive time series models},
  journal={Bernoulli},
  year={2019},
  volume={25},
  number={3},
  pages={2107-2136},
  doi={10.3150/18-BEJ1047},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069805103&doi=10.3150%2f18-BEJ1047&partnerID=40&md5=667a03fb4811811bcdf89c1a0183a3a4},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “Local stationarity and time-inhomogeneous markov chains,” Annals of statistics, vol. 47, iss. 4, pp. 2023-2050, 2019.
  [Bibtex]

  @ARTICLE{Truquet20192023,
  author={Truquet, L.},
  title={Local stationarity and time-inhomogeneous markov chains},
  journal={Annals of Statistics},
  year={2019},
  volume={47},
  number={4},
  pages={2023-2050},
  doi={10.1214/18-AOS1739},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068896804&doi=10.1214%2f18-AOS1739&partnerID=40&md5=a1597086bf61e1738682fa15378f7649},
  document_type={Article},
  source={Scopus},
  }

2018

• L. Riou-Durand and N. Chopin, “Noise contrastive estimation: asymptotic properties, formal comparison with mc-mle,” Electronic journal of statistics, 2018.
  [Bibtex]

  @article{rioudurand:hal-02391188,
  author={Riou-Durand, Lionel and Chopin, Nicolas},
  title={Noise contrastive estimation: Asymptotic properties, formal comparison with MC-MLE},
  journal={Electronic Journal of Statistics},
  year={2018},
  }

• A. Buchholz and N. Chopin, “Improving approximate bayesian computation via quasi-monte carlo,” Journal of computational and graphical statistics, 2018.
  [Bibtex]

  @article{buchholz:hal-02391181,
  author={Buchholz, Alexander and Chopin, Nicolas},
  title={Improving Approximate Bayesian Computation via Quasi-Monte Carlo},
  journal={Journal of Computational and Graphical Statistics},
  year={2018},
  }

• V. Forissier, A. Tallet, M. Cohen, J. Classe, F. Reyal, N. Chopin, C. Mazouni, P. Gimbergues, E. Darai, P. E. Colombo, P. Azuar, E. Lambaudie, and G. Houvenaeghel, “Is post mastectomy radiotherapy contributive in pn0-1mi breast cancers patients? results of a french multi-centric cohort,” Cancer research, 2018.
  [Bibtex]

  @article{forissier:hal-02143679,
  author={Forissier, Violaine and Tallet, Agnes and Cohen, Monique and Classe, Jean-Marc and Reyal, Fabien and Chopin, Nicolas and Mazouni, Chafika and Gimbergues, Pierre and Darai, Emile and Colombo, Pierre Emmanuel and Azuar, Pierre and Lambaudie, Eric and Houvenaeghel, Gilles},
  title={Is post mastectomy radiotherapy contributive in pN0-1mi breast cancers patients? Results of a French multi-centric cohort},
  journal={CANCER RESEARCH},
  year={2018},
  }

• G. Peyre and M. Cuturi, “Computational optimal transport,” Foundations and trends in machine learning, 2018.
  [Bibtex]

  @article{peyre:hal-02411770,
  author={Peyre, Gabriel and Cuturi, Marco},
  title={Computational Optimal Transport},
  journal={Foundations and Trends in Machine Learning},
  year={2018},
  }

• E. Cazelles, V. Seguy, J. Bigot, M. Cuturi, and N. Papadakis, “Log-pca versus geodesic pca of histograms in the wasserstein space,” Siam journal on scientific computing, 2018.
  [Bibtex]

  @article{cazelles:hal-01581699,
  author={Cazelles, Elsa and Seguy, Vivien and Bigot, Jeremie and Cuturi, Marco and Papadakis, Nicolas},
  title={Log-PCA versus Geodesic PCA of histograms in the Wasserstein space},
  journal={SIAM Journal on Scientific Computing},
  year={2018},
  }

• R. Flamary, M. Cuturi, N. Courty, and A. Rakotomamonjy, “Wasserstein discriminant analysis,” Machine learning, 2018.
  [Bibtex]

  @article{flamary:hal-01377528,
  author={Flamary, Remi and Cuturi, Marco and Courty, Nicolas and Rakotomamonjy, Alain},
  title={Wasserstein Discriminant Analysis},
  journal={Machine Learning},
  year={2018},
  }

• M. A. Schmitz, M. Heitz, N. Bonneel, F. M. N. Mboula, D. Coeurjolly, M. Cuturi, G. Peyre, and J. Starck, “Wasserstein dictionary learning: optimal transport-based unsupervised non-linear dictionary learning,” Siam journal on imaging sciences, 2018.
  [Bibtex]

  @article{schmitz:hal-01717943,
  author={Schmitz, Morgan A and Heitz, Matthieu and Bonneel, Nicolas and Mboula, Fred Maurice Ngole and Coeurjolly, David and Cuturi, Marco and Peyre, Gabriel and Starck, Jean-Luc},
  title={Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning},
  journal={SIAM Journal on Imaging Sciences},
  year={2018},
  }

• O. Collier and A. S. Dalalyan, “Estimating linear functionals of a sparse family of poisson means,” Statistical inference for stochastic processes, 2018.
  [Bibtex]

  @article{collier:hal-01656605,
  author={Collier, Olivier and Dalalyan, Arnak S},
  title={Estimating linear functionals of a sparse family of Poisson means},
  journal={Statistical Inference for Stochastic Processes},
  year={2018},
  }

• R. Diel and M. Lerasle, “Non parametric estimation for random walks in random environment,” Stochastic processes and their applications, 2018.
  [Bibtex]

  @article{diel:hal-01330523,
  author={Diel, Roland and Lerasle, Matthieu},
  title={Non parametric estimation for random walks in random environment},
  journal={Stochastic Processes and their Applications},
  year={2018},
  }

• J. Flesh, R. Laraki, and V. Perchet, “Approachability of convex sets in generalized quitting games,” Games and economic behavior, 2018.
  [Bibtex]

  @article{flesh:hal-02296562,
  author={Flesh, Janos and Laraki, Rida and Perchet, Vianney},
  title={Approachability of convex sets in generalized quitting games},
  journal={Games and Economic Behavior},
  year={2018},
  }

• S. Chib, M. Shin, and A. Simoni, “Bayesian estimation and comparison of moment condition models,” Journal of the american statistical association, 2018.
  [Bibtex]

  @article{chib:hal-03089882,
  author={Chib, Siddhartha and Shin, Minchul and Simoni, Anna},
  title={Bayesian Estimation and Comparison of Moment Condition Models},
  journal={Journal of the American Statistical Association},
  year={2018},
  }

• C. Breunig, E. Mammen, and A. Simoni, “Nonparametric estimation in case of endogenous selection,” Journal of econometrics, 2018.
  [Bibtex]

  @article{breunig:hal-03089885,
  author={Breunig, Christoph and Mammen, Enno and Simoni, Anna},
  title={Nonparametric estimation in case of endogenous selection},
  journal={Journal of Econometrics},
  year={2018},
  }

• A. Juditsky, A. Tsybakov, and C. Zhang, “Statistical inference for structured high-dimensional models,” Oberwolfach reports, 2018.
  [Bibtex]

  @article{juditsky:hal-03185500,
  author={Juditsky, Anatoli and Tsybakov, Alexandre and Zhang, Cun-Hui},
  title={Statistical Inference for Structured High-dimensional Models},
  journal={Oberwolfach Reports},
  year={2018},
  }

• O. Collier, L. Comminges, A. B. Tsybakov, and N. Verzelen, “Optimal adaptive estimation of linear functionals under sparsity,” Annals of statistics, 2018.
  [Bibtex]

  @article{collier:hal-01425801,
  author={Collier, Olivier and Comminges, Laetitia and Tsybakov, Alexandre B. and Verzelen, Nicolas},
  title={Optimal adaptive estimation of linear functionals under sparsity},
  journal={Annals of Statistics},
  year={2018},
  }

• V. Briane, C. Kervrann, and M. Vimond, “Statistical analysis of particle trajectories in living cells,” Physical review e, 2018.
  [Bibtex]

  @article{briane:hal-01961971,
  author={Briane, Vincent and Kervrann, Charles and Vimond, Myriam},
  title={Statistical analysis of particle trajectories in living cells},
  journal={Physical Review E},
  year={2018},
  }

• P. C. Bellec, A. S. Dalalyan, E. Grappin, and Q. Paris, “On the prediction loss of the lasso in the partially labeled setting,” Electronic journal of statistics, vol. 12, iss. 2, pp. 3443-3472, 2018.
  [Bibtex]

  @ARTICLE{Bellec20183443,
  author={Bellec, P.C. and Dalalyan, A.S. and Grappin, E. and Paris, Q.},
  title={On the prediction loss of the lasso in the partially labeled setting},
  journal={Electronic Journal of Statistics},
  year={2018},
  volume={12},
  number={2},
  pages={3443-3472},
  doi={10.1214/18-EJS1457},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063375588&doi=10.1214%2f18-EJS1457&partnerID=40&md5=9bdab6eedcbae99bf9fbf0a7d604a57c},
  document_type={Article},
  source={Scopus},
  }

• P. C. Bellec, G. Lecue, and A. B. Tsybakov, “Slope meets lasso: improved oracle bounds and optimality,” Annals of statistics, vol. 46, iss. 6B, pp. 3603-3642, 2018.
  [Bibtex]

  @ARTICLE{Bellec20183603,
  author={Bellec, P.C. and Lecue, G. and Tsybakov, A.B.},
  title={Slope meets lasso: Improved oracle bounds and optimality},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={6B},
  pages={3603-3642},
  doi={10.1214/17-AOS1670},
  note={cited By 21},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054152682&doi=10.1214%2f17-AOS1670&partnerID=40&md5=11f88e820b0f94782466f552a9669ce1},
  document_type={Article},
  source={Scopus},
  }

• A. Bourdin, C. M. Suehs, G. Marin, I. Vachier, E. Matzner-Lober, P. Chanez, and N. Molinari, “Asthma, copd, and overlap in a national cohort: aco on a gradient,” Journal of allergy and clinical immunology, vol. 141, iss. 4, pp. 1516-1518, 2018.
  [Bibtex]

  @ARTICLE{Bourdin20181516,
  author={Bourdin, A. and Suehs, C.M. and Marin, G. and Vachier, I. and Matzner-Lober, E. and Chanez, P. and Molinari, N.},
  title={Asthma, COPD, and overlap in a national cohort: ACO on a gradient},
  journal={Journal of Allergy and Clinical Immunology},
  year={2018},
  volume={141},
  number={4},
  pages={1516-1518},
  doi={10.1016/j.jaci.2017.11.049},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042591572&doi=10.1016%2fj.jaci.2017.11.049&partnerID=40&md5=7149fe9488bcd2248ab580045bb3ef8e},
  document_type={Article},
  source={Scopus},
  }

• C. Breunig, E. Mammen, and A. Simoni, “Nonparametric estimation in case of endogenous selection,” Journal of econometrics, vol. 202, iss. 2, pp. 268-285, 2018.
  [Bibtex]

  @ARTICLE{Breunig2018268,
  author={Breunig, C. and Mammen, E. and Simoni, A.},
  title={Nonparametric estimation in case of endogenous selection},
  journal={Journal of Econometrics},
  year={2018},
  volume={202},
  number={2},
  pages={268-285},
  doi={10.1016/j.jeconom.2017.11.002},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037030479&doi=10.1016%2fj.jeconom.2017.11.002&partnerID=40&md5=c9abd21210e3008d779208cc5724221a},
  document_type={Article},
  source={Scopus},
  }

• V. Briane, C. Kervrann, and M. Vimond, “Statistical analysis of particle trajectories in living cells,” Physical review e, vol. 97, iss. 6, 2018.
  [Bibtex]

  @ARTICLE{Briane2018,
  author={Briane, V. and Kervrann, C. and Vimond, M.},
  title={Statistical analysis of particle trajectories in living cells},
  journal={Physical Review E},
  year={2018},
  volume={97},
  number={6},
  doi={10.1103/PhysRevE.97.062121},
  art_number={062121},
  note={cited By 21},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048574125&doi=10.1103%2fPhysRevE.97.062121&partnerID=40&md5=2cc110c164721277766a45cd030db958},
  document_type={Article},
  source={Scopus},
  }

• V. -E. Brunel, “Methods for estimation of convex sets,” Statistical science, vol. 33, iss. 4, pp. 615-632, 2018.
  [Bibtex]

  @ARTICLE{Brunel2018615,
  author={Brunel, V.-E.},
  title={Methods for estimation of convex sets},
  journal={Statistical Science},
  year={2018},
  volume={33},
  number={4},
  pages={615-632},
  doi={10.1214/18-STS669},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057493431&doi=10.1214%2f18-STS669&partnerID=40&md5=8abdb9095bb43ea9153fb0a925677a88},
  document_type={Article},
  source={Scopus},
  }

• V. -E. Brunel, “A change-point problem and inference for segment signals,” Esaim – probability and statistics, vol. 22, pp. 210-235, 2018.
  [Bibtex]

  @ARTICLE{Brunel2018210,
  author={Brunel, V.-E.},
  title={A change-point problem and inference for segment signals},
  journal={ESAIM - Probability and Statistics},
  year={2018},
  volume={22},
  pages={210-235},
  doi={10.1051/ps/2018014},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060719460&doi=10.1051%2fps%2f2018014&partnerID=40&md5=40fee3270f50a40d844d180081e3b2c1},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. Ndaoud, N. A. Stepanova, and A. B. Tsybakov, “Variable selection with hamming loss,” Annals of statistics, vol. 46, iss. 5, pp. 1837-1875, 2018.
  [Bibtex]

  @ARTICLE{Butucea20181837,
  author={Butucea, C. and Ndaoud, M. and Stepanova, N.A. and Tsybakov, A.B.},
  title={Variable selection with hamming loss},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={5},
  pages={1837-1875},
  doi={10.1214/17-AOS1572},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052655230&doi=10.1214%2f17-AOS1572&partnerID=40&md5=7f43dc9716fafc6e4c886f2cabc27df8},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer, “Maximum entropy distribution of order statistics with given marginals,” Bernoulli, vol. 24, iss. 1, pp. 115-155, 2018.
  [Bibtex]

  @ARTICLE{Butucea2018115,
  author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
  title={Maximum entropy distribution of order statistics with given marginals},
  journal={Bernoulli},
  year={2018},
  volume={24},
  number={1},
  pages={115-155},
  doi={10.3150/16-BEJ868},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026316489&doi=10.3150%2f16-BEJ868&partnerID=40&md5=2913dc7b1c465e671915b9115e7d5281},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. A. Gut, and M. Nussbaum, “Local asymptotic equivalence of pure states ensembles and quantum gaussian white noise,” Annals of statistics, vol. 46, iss. 6B, pp. 3676-3706, 2018.
  [Bibtex]

  @ARTICLE{Butucea20183676,
  author={Butucea, C. and Gut, M.A. and Nussbaum, M.},
  title={Local asymptotic equivalence of pure states ensembles and quantum Gaussian white noise},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={6B},
  pages={3676-3706},
  doi={10.1214/17-AOS1672},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054753811&doi=10.1214%2f17-AOS1672&partnerID=40&md5=761d964ed3fffc1dc98d42ee6c59d0e9},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer, “Fast adaptive estimation of log-additive exponential models in kullback-leibler divergence,” Electronic journal of statistics, vol. 12, iss. 1, pp. 1256-1298, 2018.
  [Bibtex]

  @ARTICLE{Butucea20181256,
  author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
  title={Fast adaptive estimation of log-additive exponential models in kullback-leibler divergence},
  journal={Electronic Journal of Statistics},
  year={2018},
  volume={12},
  number={1},
  pages={1256-1298},
  doi={10.1214/18-EJS1413},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045095428&doi=10.1214%2f18-EJS1413&partnerID=40&md5=b91d2045fe347a32217e3ff5257eec1b},
  document_type={Article},
  source={Scopus},
  }

• E. Cazelles, V. Seguy, J. Bigot, M. Cuturi, and N. Papadakis, “Geodesic pca versus log-pca of histograms in the wasserstein space,” Siam journal on scientific computing, vol. 40, iss. 2, p. B429-B456, 2018.
  [Bibtex]

  @ARTICLE{Cazelles2018B429,
  author={Cazelles, E. and Seguy, V. and Bigot, J. and Cuturi, M. and Papadakis, N.},
  title={Geodesic PCA versus LOG-PCA of histograms in the wasserstein space},
  journal={SIAM Journal on Scientific Computing},
  year={2018},
  volume={40},
  number={2},
  pages={B429-B456},
  doi={10.1137/17M1143459},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046805671&doi=10.1137%2f17M1143459&partnerID=40&md5=c8927fe265b5b71d2c6216060ee1b53f},
  document_type={Article},
  source={Scopus},
  }

• S. Chib, M. Shin, and A. Simoni, “Bayesian estimation and comparison of moment condition models,” Journal of the american statistical association, vol. 113, iss. 524, pp. 1656-1668, 2018.
  [Bibtex]

  @ARTICLE{Chib20181656,
  author={Chib, S. and Shin, M. and Simoni, A.},
  title={Bayesian Estimation and Comparison of Moment Condition Models},
  journal={Journal of the American Statistical Association},
  year={2018},
  volume={113},
  number={524},
  pages={1656-1668},
  doi={10.1080/01621459.2017.1358172},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049125012&doi=10.1080%2f01621459.2017.1358172&partnerID=40&md5=3fb44d2ad43a19a14487113f3d047354},
  document_type={Article},
  source={Scopus},
  }

• O. Collier and A. S. Dalalyan, “Estimating linear functionals of a sparse family of poisson means,” Statistical inference for stochastic processes, vol. 21, iss. 2, pp. 331-344, 2018.
  [Bibtex]

  @ARTICLE{Collier2018331,
  author={Collier, O. and Dalalyan, A.S.},
  title={Estimating linear functionals of a sparse family of Poisson means},
  journal={Statistical Inference for Stochastic Processes},
  year={2018},
  volume={21},
  number={2},
  pages={331-344},
  doi={10.1007/s11203-018-9173-0},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041505653&doi=10.1007%2fs11203-018-9173-0&partnerID=40&md5=2b05a012de069bfeab71d1312cd7cd08},
  document_type={Article},
  source={Scopus},
  }

• O. Collier, L. Comminges, A. B. Tsybakov, and N. Verzelen, “Optimal adaptive estimation of linear functionals under sparsity,” Annals of statistics, vol. 46, iss. 6A, pp. 3130-3150, 2018.
  [Bibtex]

  @ARTICLE{Collier20183130,
  author={Collier, O. and Comminges, L. and Tsybakov, A.B. and Verzelen, N.},
  title={Optimal adaptive estimation of linear functionals under sparsity},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={6A},
  pages={3130-3150},
  doi={10.1214/17-AOS1653},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054763840&doi=10.1214%2f17-AOS1653&partnerID=40&md5=3719a1d4a3388288ca71bb4022e4117c},
  document_type={Article},
  source={Scopus},
  }

• M. Cuturi and G. Peyre, “Semidual regularized optimal transport,” Siam review, vol. 60, iss. 4, pp. 941-965, 2018.
  [Bibtex]

  @ARTICLE{Cuturi2018941,
  author={Cuturi, M. and Peyre, G.},
  title={Semidual regularized optimal transport},
  journal={SIAM Review},
  year={2018},
  volume={60},
  number={4},
  pages={941-965},
  doi={10.1137/18M1208654},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056596147&doi=10.1137%2f18M1208654&partnerID=40&md5=0ca7a87656c59e048f410f024963aaad},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, E. Grappin, and Q. Paris, “On the exponentially weighted aggregate with the laplace prior,” Annals of statistics, vol. 46, iss. 5, pp. 2452-2478, 2018.
  [Bibtex]

  @ARTICLE{Dalalyan20182452,
  author={Dalalyan, A.S. and Grappin, E. and Paris, Q.},
  title={On the exponentially weighted aggregate with the laplace prior},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={5},
  pages={2452-2478},
  doi={10.1214/17-AOS1626},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052610806&doi=10.1214%2f17-AOS1626&partnerID=40&md5=b2c02b889f4fa84d107838e03f2e7497},
  document_type={Article},
  source={Scopus},
  }

• H. P. Dang and P. Chainais, “Towards dictionaries of optimal size: a bayesian non parametric approach,” Journal of signal processing systems, vol. 90, iss. 2, pp. 221-232, 2018.
  [Bibtex]

  @ARTICLE{Dang2018221,
  author={Dang, H.P. and Chainais, P.},
  title={Towards Dictionaries of Optimal Size: A Bayesian Non Parametric Approach},
  journal={Journal of Signal Processing Systems},
  year={2018},
  volume={90},
  number={2},
  pages={221-232},
  doi={10.1007/s11265-016-1154-1},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976481547&doi=10.1007%2fs11265-016-1154-1&partnerID=40&md5=2099dbdaa2912808e69979aa659dd4fc},
  document_type={Article},
  source={Scopus},
  }

• A. Daouia, S. Girard, and G. Stupfler, “Estimation of tail risk based on extreme expectiles,” Journal of the royal statistical society. series b: statistical methodology, vol. 80, iss. 2, pp. 263-292, 2018.
  [Bibtex]

  @ARTICLE{Daouia2018263,
  author={Daouia, A. and Girard, S. and Stupfler, G.},
  title={Estimation of tail risk based on extreme expectiles},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2018},
  volume={80},
  number={2},
  pages={263-292},
  doi={10.1111/rssb.12254},
  note={cited By 28},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031100950&doi=10.1111%2frssb.12254&partnerID=40&md5=d1ba37e5c0ea3391c2a1c1d9bfc102fd},
  document_type={Article},
  source={Scopus},
  }

• R. Diel and M. Lerasle, “Non parametric estimation for random walks in random environment,” Stochastic processes and their applications, vol. 128, iss. 1, pp. 132-155, 2018.
  [Bibtex]

  @ARTICLE{Diel2018132,
  author={Diel, R. and Lerasle, M.},
  title={Non parametric estimation for random walks in random environment},
  journal={Stochastic Processes and their Applications},
  year={2018},
  volume={128},
  number={1},
  pages={132-155},
  doi={10.1016/j.spa.2017.04.011},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020465504&doi=10.1016%2fj.spa.2017.04.011&partnerID=40&md5=ee28ed1bf2091f888b965a0b5cc5756f},
  document_type={Article},
  source={Scopus},
  }

• S. Dirksen, G. Lecue, and H. Rauhut, “On the gap between restricted isometry properties and sparse recovery conditions,” Ieee transactions on information theory, vol. 64, iss. 8, pp. 5478-5487, 2018.
  [Bibtex]

  @ARTICLE{Dirksen20185478,
  author={Dirksen, S. and Lecue, G. and Rauhut, H.},
  title={On the gap between restricted isometry properties and sparse recovery conditions},
  journal={IEEE Transactions on Information Theory},
  year={2018},
  volume={64},
  number={8},
  pages={5478-5487},
  doi={10.1109/TIT.2016.2570244},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050028964&doi=10.1109%2fTIT.2016.2570244&partnerID=40&md5=cd4d7f69c2c938631f7688baf2103f16},
  document_type={Article},
  source={Scopus},
  }

• J. El Methni and G. Stupfler, “Improved estimators of extreme wang distortion risk measures for very heavy-tailed distributions,” Econometrics and statistics, vol. 6, pp. 129-148, 2018.
  [Bibtex]

  @ARTICLE{ElMethni2018129,
  author={El Methni, J. and Stupfler, G.},
  title={Improved estimators of extreme Wang distortion risk measures for very heavy-tailed distributions},
  journal={Econometrics and Statistics},
  year={2018},
  volume={6},
  pages={129-148},
  doi={10.1016/j.ecosta.2017.03.002},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041039838&doi=10.1016%2fj.ecosta.2017.03.002&partnerID=40&md5=395d4f223bca8d3a4e516e518282924f},
  document_type={Article},
  source={Scopus},
  }

• R. Flamary, M. Cuturi, N. Courty, and A. Rakotomamonjy, “Wasserstein discriminant analysis,” Machine learning, vol. 107, iss. 12, pp. 1923-1945, 2018.
  [Bibtex]

  @ARTICLE{Flamary20181923,
  author={Flamary, R. and Cuturi, M. and Courty, N. and Rakotomamonjy, A.},
  title={Wasserstein discriminant analysis},
  journal={Machine Learning},
  year={2018},
  volume={107},
  number={12},
  pages={1923-1945},
  doi={10.1007/s10994-018-5717-1},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047144827&doi=10.1007%2fs10994-018-5717-1&partnerID=40&md5=f43f3d144ea78675d6e5183a6b4a2dc1},
  document_type={Article},
  source={Scopus},
  }

• J. Flesch, R. Laraki, and V. Perchet, “Approachability of convex sets in generalized quitting games,” Games and economic behavior, vol. 108, pp. 411-431, 2018.
  [Bibtex]

  @ARTICLE{Flesch2018411,
  author={Flesch, J. and Laraki, R. and Perchet, V.},
  title={Approachability of convex sets in generalized quitting games},
  journal={Games and Economic Behavior},
  year={2018},
  volume={108},
  pages={411-431},
  doi={10.1016/j.geb.2017.12.007},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038856302&doi=10.1016%2fj.geb.2017.12.007&partnerID=40&md5=86ea7d9797fddfa24253095fc85cb9b5},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Regularization and the small-ball method i: sparse recovery,” Annals of statistics, vol. 46, iss. 2, pp. 611-641, 2018.
  [Bibtex]

  @ARTICLE{Lecue2018611,
  author={Lecue, G. and Mendelson, S.},
  title={Regularization and the small-ball method I: Sparse recovery},
  journal={Annals of Statistics},
  year={2018},
  volume={46},
  number={2},
  pages={611-641},
  doi={10.1214/17-AOS1562},
  note={cited By 15},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045183621&doi=10.1214%2f17-AOS1562&partnerID=40&md5=9d2461e3e531be8b396d2e878a095844},
  document_type={Article},
  source={Scopus},
  }

• W. Li and V. Patilea, “A dimension reduction approach for conditional kaplan-meier estimators,” Test, vol. 27, iss. 2, pp. 295-315, 2018.
  [Bibtex]

  @ARTICLE{Li2018295,
  author={Li, W. and Patilea, V.},
  title={A dimension reduction approach for conditional Kaplan-Meier estimators},
  journal={Test},
  year={2018},
  volume={27},
  number={2},
  pages={295-315},
  doi={10.1007/s11749-017-0546-2},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020539332&doi=10.1007%2fs11749-017-0546-2&partnerID=40&md5=1b6765f5af57ab98c5ae7927297c9d96},
  document_type={Article},
  source={Scopus},
  }

• E. Matzner-Lober, M. Suehs Carey, A. Dohan, and N. Molinari, “Thoughts on entering correlated imaging variables into a multivariable model: application to radiomics and texture analysis,” Diagnostic and interventional imaging, vol. 99, iss. 5, pp. 269-270, 2018.
  [Bibtex]

  @EDITORIAL{Matzner-Lober2018269,
  author={Matzner-Lober, E. and Suehs Carey, M. and Dohan, A. and Molinari, N.},
  title={Thoughts on entering correlated imaging variables into a multivariable model: Application to radiomics and texture analysis},
  journal={Diagnostic and Interventional Imaging},
  year={2018},
  volume={99},
  number={5},
  pages={269-270},
  doi={10.1016/j.diii.2018.04.011},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047986537&doi=10.1016%2fj.diii.2018.04.011&partnerID=40&md5=fa5855cd8eb1c7450c34073dc86f5c2b},
  document_type={Editorial},
  source={Scopus},
  }

• L. Riou-Durand and N. Chopin, “Noise contrastive estimation: asymptotic properties, formal comparison with mc-mle,” Electronic journal of statistics, vol. 12, iss. 2, pp. 3473-3518, 2018.
  [Bibtex]

  @ARTICLE{Riou-Durand20183473,
  author={Riou-Durand, L. and Chopin, N.},
  title={Noise contrastive estimation: Asymptotic properties, formal comparison with MC-MLE},
  journal={Electronic Journal of Statistics},
  year={2018},
  volume={12},
  number={2},
  pages={3473-3518},
  doi={10.1214/18-EJS1485},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063408687&doi=10.1214%2f18-EJS1485&partnerID=40&md5=e0a1a547b01e88dd2100e4a81f5bedc1},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard, “On optimality of empirical risk minimization in linear aggregation,” Bernoulli, vol. 24, iss. 3, pp. 2176-2203, 2018.
  [Bibtex]

  @ARTICLE{Saumard20182176,
  author={Saumard, A.},
  title={On optimality of empirical risk minimization in linear aggregation},
  journal={Bernoulli},
  year={2018},
  volume={24},
  number={3},
  pages={2176-2203},
  doi={10.3150/17-BEJ925},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041920614&doi=10.3150%2f17-BEJ925&partnerID=40&md5=d4f55c18817fa39bf39989f07fd87919},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard and J. A. Wellner, “Efron’s monotonicity property for measures on r2,” Journal of multivariate analysis, vol. 166, pp. 212-224, 2018.
  [Bibtex]

  @ARTICLE{Saumard2018212,
  author={Saumard, A. and Wellner, J.A.},
  title={Efron's monotonicity property for measures on R2},
  journal={Journal of Multivariate Analysis},
  year={2018},
  volume={166},
  pages={212-224},
  doi={10.1016/j.jmva.2018.03.005},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044606119&doi=10.1016%2fj.jmva.2018.03.005&partnerID=40&md5=5dc0165aad3aa7ea38f4e0bbc15e366d},
  document_type={Article},
  source={Scopus},
  }

• M. A. Schmitz, M. Heitz, N. Bonneel, F. Ngole, D. Coeurjolly, M. Cuturi, G. Peyre, and J. -L. Starck, “Wasserstein dictionary learning: optimal transport-based unsupervised nonlinear dictionary learning,” Siam journal on imaging sciences, vol. 11, iss. 1, pp. 643-678, 2018.
  [Bibtex]

  @ARTICLE{Schmitz2018643,
  author={Schmitz, M.A. and Heitz, M. and Bonneel, N. and Ngole, F. and Coeurjolly, D. and Cuturi, M. and Peyre, G. and Starck, J.-L.},
  title={Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning},
  journal={SIAM Journal on Imaging Sciences},
  year={2018},
  volume={11},
  number={1},
  pages={643-678},
  doi={10.1137/17M1140431},
  note={cited By 18},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045695466&doi=10.1137%2f17M1140431&partnerID=40&md5=bcf6adf908a2d41f6d15a124f1cdefef},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler and F. Yang, “Analyzing and predicting cat bond premiums: a financial loss premium principle and extreme value modeling,” Astin bulletin, vol. 48, iss. 1, pp. 375-411, 2018.
  [Bibtex]

  @ARTICLE{Stupfler2018375,
  author={Stupfler, G. and Yang, F.},
  title={Analyzing and predicting cat bond premiums: A financial loss premium principle and extreme value modeling},
  journal={ASTIN Bulletin},
  year={2018},
  volume={48},
  number={1},
  pages={375-411},
  doi={10.1017/asb.2017.32},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033375336&doi=10.1017%2fasb.2017.32&partnerID=40&md5=12fa15da64f5d9b9599d7de1a3cfbc98},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “Efficient semiparametric estimation in time-varying regression models,” Statistics, vol. 52, iss. 3, pp. 590-618, 2018.
  [Bibtex]

  @ARTICLE{Truquet2018590,
  author={Truquet, L.},
  title={Efficient semiparametric estimation in time-varying regression models},
  journal={Statistics},
  year={2018},
  volume={52},
  number={3},
  pages={590-618},
  doi={10.1080/02331888.2018.1425999},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041608333&doi=10.1080%2f02331888.2018.1425999&partnerID=40&md5=069d9ec8d595e85f2081abc737f4ef7d},
  document_type={Article},
  source={Scopus},
  }

2017

• C. Butucea and R. Zgheib, “Adaptive test for large covariance matrices in presence of missing observations,” Alea : latin american journal of probability and mathematical statistics, 2017.
  [Bibtex]

  @article{butucea:hal-03136021,
  author={Butucea, Cristina and Zgheib, Rania},
  title={Adaptive test for large covariance matrices in presence of missing observations},
  journal={ALEA : Latin American Journal of Probability and Mathematical Statistics},
  year={2017},
  }

• M. Gerber and N. Chopin, “Convergence of sequential quasi-monte carlo smoothing algorithms,” Bernoulli, 2017.
  [Bibtex]

  @article{gerber:hal-02391197,
  author={Gerber, Mathieu and Chopin, Nicolas},
  title={Convergence of sequential quasi-Monte Carlo smoothing algorithms},
  journal={Bernoulli},
  year={2017},
  }

• C. Oates, M. Girolami, and N. Chopin, “Control functionals for monte carlo integration,” Journal of the royal statistical society: series b (statistical methodology), 2017.
  [Bibtex]

  @article{oates:hal-02391194,
  author={Oates, Chris and Girolami, Mark and Chopin, Nicolas},
  title={Control functionals for Monte Carlo integration},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  year={2017},
  }

• N. Chopin and J. Ridgway, “Leave pima indians alone: binary regression as a benchmark for bayesian computation,” Statistical science, 2017.
  [Bibtex]

  @article{chopin:hal-02391201,
  author={Chopin, Nicolas and Ridgway, James},
  title={Leave Pima Indians Alone: Binary Regression as a Benchmark for Bayesian Computation},
  journal={Statistical Science},
  year={2017},
  }

• A. Dalalyan, M. Hebiri, and J. C. Lederer, “On the prediction performance of the lasso,” Bernoulli, 2017.
  [Bibtex]

  @article{dalalyan:halshs-02599138,
  author={Dalalyan, Arnak and Hebiri, Mohamed and Lederer, Johannes C.},
  title={On the prediction performance of the Lasso},
  journal={Bernoulli},
  year={2017},
  }

• A. Dalalyan, M. Hebiri, and J. C. Lederer, “On the prediction performance of the lasso,” Bernoulli, 2017.
  [Bibtex]

  @article{dalalyan:halshs-02599138,
  author={Dalalyan, Arnak and Hebiri, Mohamed and Lederer, Johannes C.},
  title={On the prediction performance of the Lasso},
  journal={Bernoulli},
  year={2017},
  }

• C. Denis and M. Hebiri, “Confidence sets with expected sizes for multiclass classification,” Journal of machine learning research, 2017.
  [Bibtex]

  @article{denis:hal-01357850,
  author={Denis, Christophe and Hebiri, Mohamed},
  title={Confidence sets with expected sizes for Multiclass Classification},
  journal={Journal of Machine Learning Research},
  year={2017},
  }

• R. Chetrite, R. Diel, and M. Lerasle, “The number of potential winners in bradley-terry model in random environment,” Annals of applied probability, 2017.
  [Bibtex]

  @article{chetrite:hal-01204517,
  author={Chetrite, Raphael and Diel, Roland and Lerasle, Matthieu},
  title={The number of potential winners in Bradley-Terry model in random environment},
  journal={Annals of Applied Probability},
  year={2017},
  }

• Y. P. Chaubey, C. Chesneau, and F. Navarro, “Linear wavelet estimation of the derivatives of a regression function based on biased data,” Communications in statistics – theory and methods, 2017.
  [Bibtex]

  @article{chaubey:hal-01075544,
  author={Chaubey, Yogendra P. and Chesneau, Christophe and Navarro, Fabien},
  title={Linear wavelet estimation of the derivatives of a regression function based on biased data},
  journal={Communications in Statistics - Theory and Methods},
  year={2017},
  }

• F. Navarro and A. Saumard, “Slope heuristics and v-fold model selection in heteroscedastic regression using strongly localized bases,” Esaim: probability and statistics, 2017.
  [Bibtex]

  @article{navarro:hal-00528539,
  author={Navarro, Fabien and Saumard, Adrien},
  title={Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases},
  journal={ESAIM: Probability and Statistics},
  year={2017},
  }

• C. Chesneau and F. Navarro, “On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator,” Communications in statistics – theory and methods, 2017.
  [Bibtex]

  @article{chesneau:hal-01188362,
  author={Chesneau, Christophe and Navarro, Fabien},
  title={On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator},
  journal={Communications in Statistics - Theory and Methods},
  year={2017},
  }

• C. Chesneau, F. Navarro, and O. S. Serea, “A note on the adaptive estimation of the differential entropy by wavelet methods,” Commentationes mathematicae universitatis carolinae, 2017.
  [Bibtex]

  @article{chesneau:hal-01141420,
  author={Chesneau, Christophe and Navarro, Fabien and Serea, Oana Silvia},
  title={A note on the adaptive estimation of the differential entropy by wavelet methods},
  journal={Commentationes Mathematicae Universitatis Carolinae},
  year={2017},
  }

• S. Maistre, P. Lavergne, and V. Patilea, “Powerful nonparametric checks for quantile regression,” Journal of statistical planning and inference, 2017.
  [Bibtex]

  @article{maistre:hal-00979239,
  author={Maistre, Samuel and Lavergne, Pascal and Patilea, Valentin},
  title={Powerful nonparametric checks for quantile regression},
  journal={Journal of Statistical Planning and Inference},
  year={2017},
  }

• F. Navarro and A. Saumard, “Slope heuristics and v-fold model selection in heteroscedastic regression using strongly localized bases,” Esaim: probability and statistics, 2017.
  [Bibtex]

  @article{navarro:hal-00528539,
  author={Navarro, Fabien and Saumard, Adrien},
  title={Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases},
  journal={ESAIM: Probability and Statistics},
  year={2017},
  }

• S. Hoderlein, L. Nesheim, and A. Simoni, “Semiparametric estimation of random coefficients in structural economic models,” Econometric theory, 2017.
  [Bibtex]

  @article{hoderlein:hal-03089886,
  author={Hoderlein, Stefan and Nesheim, Lars and Simoni, Anna},
  title={SEMIPARAMETRIC ESTIMATION OF RANDOM COEFFICIENTS IN STRUCTURAL ECONOMIC MODELS},
  journal={Econometric Theory},
  year={2017},
  }

• L. Truquet, “Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models,” Journal of the royal statistical society: series b, 2017.
  [Bibtex]

  @article{truquet:hal-01539373,
  author={Truquet, Lionel},
  title={Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models},
  journal={Journal of the Royal Statistical Society: Series B},
  year={2017},
  }

• B. Cadre, G. Massiot, and L. Truquet, “Nonparametric tests for cox processes,” Journal of statistical planning and inference, 2017.
  [Bibtex]

  @article{cadre:hal-01430572,
  author={Cadre, Benoit and Massiot, Gaspar and Truquet, Lionel},
  title={Nonparametric tests for Cox processes},
  journal={Journal of Statistical Planning and Inference},
  year={2017},
  }

• O. Collier, L. Comminges, and A. Tsybakov, “Minimax estimation of linear and quadratic functionals on sparsity classes,” Annals of statistics, 2017.
  [Bibtex]

  @article{collier:hal-03163153,
  author={Collier, Olivier and Comminges, Laetitia and Tsybakov, Alexandre},
  title={Minimax estimation of linear and quadratic functionals on sparsity classes},
  journal={Annals of Statistics},
  year={2017},
  }

• A. Belloni, M. Rosenbaum, and A. B. Tsybakov, “Linear and conic programming estimators in high dimensional errors-in-variables models,” Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 939-956, 2017.
  [Bibtex]

  @ARTICLE{Belloni2017939,
  author={Belloni, A. and Rosenbaum, M. and Tsybakov, A.B.},
  title={Linear and conic programming estimators in high dimensional errors-in-variables models},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2017},
  volume={79},
  number={3},
  pages={939-956},
  doi={10.1111/rssb.12196},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978148144&doi=10.1111%2frssb.12196&partnerID=40&md5=51a9b292300db46f549014e690c747aa},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, R. Ngueyep Tzoumpe, and P. Vandekerkhove, “Semiparametric topographical mixture models with symmetric errors,” Bernoulli, vol. 23, iss. 2, pp. 825-862, 2017.
  [Bibtex]

  @ARTICLE{Butucea2017825,
  author={Butucea, C. and Ngueyep Tzoumpe, R. and Vandekerkhove, P.},
  title={Semiparametric topographical mixture models with symmetric errors},
  journal={Bernoulli},
  year={2017},
  volume={23},
  number={2},
  pages={825-862},
  doi={10.3150/15-BEJ760},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012923747&doi=10.3150%2f15-BEJ760&partnerID=40&md5=26843377705524014950011b89a0af88},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and N. Stepanova, “Adaptive variable selection in nonparametric sparse additive models,” Electronic journal of statistics, vol. 11, iss. 1, pp. 2321-2357, 2017.
  [Bibtex]

  @ARTICLE{Butucea20172321,
  author={Butucea, C. and Stepanova, N.},
  title={Adaptive variable selection in nonparametric sparse additive models},
  journal={Electronic Journal of Statistics},
  year={2017},
  volume={11},
  number={1},
  pages={2321-2357},
  doi={10.1214/17-EJS1275},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019970964&doi=10.1214%2f17-EJS1275&partnerID=40&md5=c4727a8bbde5712d1a2ee6e29109e500},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer, “Optimal exponential bounds for aggregation of estimators for the kullback-leibler loss,” Electronic journal of statistics, vol. 11, iss. 1, pp. 2258-2294, 2017.
  [Bibtex]

  @ARTICLE{Butucea20172258,
  author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
  title={Optimal exponential bounds for aggregation of estimators for the Kullback-Leibler loss},
  journal={Electronic Journal of Statistics},
  year={2017},
  volume={11},
  number={1},
  pages={2258-2294},
  doi={10.1214/17-EJS1269},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019665273&doi=10.1214%2f17-EJS1269&partnerID=40&md5=dab53d86efb986b651fe18f1dc0aa5e0},
  document_type={Article},
  source={Scopus},
  }

• B. Cadre, G. Massiot, and L. Truquet, “Nonparametric tests for cox processes,” Journal of statistical planning and inference, vol. 184, pp. 48-61, 2017.
  [Bibtex]

  @ARTICLE{Cadre201748,
  author={Cadre, B. and Massiot, G. and Truquet, L.},
  title={Nonparametric tests for Cox processes},
  journal={Journal of Statistical Planning and Inference},
  year={2017},
  volume={184},
  pages={48-61},
  doi={10.1016/j.jspi.2016.12.001},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009437467&doi=10.1016%2fj.jspi.2016.12.001&partnerID=40&md5=e7ca56b26db9958198d751ab904c8a0b},
  document_type={Article},
  source={Scopus},
  }

• Y. P. Chaubey, C. Chesneau, and F. Navarro, “Linear wavelet estimation of the derivatives of a regression function based on biased data,” Communications in statistics – theory and methods, vol. 46, iss. 19, pp. 9541-9556, 2017.
  [Bibtex]

  @ARTICLE{Chaubey20179541,
  author={Chaubey, Y.P. and Chesneau, C. and Navarro, F.},
  title={Linear wavelet estimation of the derivatives of a regression function based on biased data},
  journal={Communications in Statistics - Theory and Methods},
  year={2017},
  volume={46},
  number={19},
  pages={9541-9556},
  doi={10.1080/03610926.2016.1213287},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020414551&doi=10.1080%2f03610926.2016.1213287&partnerID=40&md5=0191ab2f8cbfc37438660149d398cd0e},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau and F. Navarro, “On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator,” Communications in statistics – theory and methods, vol. 46, iss. 11, pp. 5643-5655, 2017.
  [Bibtex]

  @ARTICLE{Chesneau20175643,
  author={Chesneau, C. and Navarro, F.},
  title={On the pointwise mean squared error of a multidimensional term-by-term thresholding wavelet estimator},
  journal={Communications in Statistics - Theory and Methods},
  year={2017},
  volume={46},
  number={11},
  pages={5643-5655},
  doi={10.1080/03610926.2015.1107587},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013046209&doi=10.1080%2f03610926.2015.1107587&partnerID=40&md5=7e10b9e833e8d62a0413d6ac3fc059df},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, F. Navarro, and O. S. Serea, “A note on the adaptive estimation of the differential entropy by wavelet methods,” Commentationes mathematicae universitatis carolinae, vol. 58, iss. 1, pp. 87-100, 2017.
  [Bibtex]

  @ARTICLE{Chesneau201787,
  author={Chesneau, C. and Navarro, F. and Serea, O.S.},
  title={A note on the adaptive estimation of the differential entropy by wavelet methods},
  journal={Commentationes Mathematicae Universitatis Carolinae},
  year={2017},
  volume={58},
  number={1},
  pages={87-100},
  doi={10.14712/1213-7243.2015.191},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016122850&doi=10.14712%2f1213-7243.2015.191&partnerID=40&md5=deec2b520ccab956a6063067c5bd2c08},
  document_type={Article},
  source={Scopus},
  }

• R. Chetrite, R. Diel, and M. Lerasle, “The number of potential winners in bradley-terry model in random environment,” Annals of applied probability, vol. 27, iss. 3, pp. 1372-1394, 2017.
  [Bibtex]

  @ARTICLE{Chetrite20171372,
  author={Chetrite, R. and Diel, R. and Lerasle, M.},
  title={The number of potential winners in bradley-terry model in random environment},
  journal={Annals of Applied Probability},
  year={2017},
  volume={27},
  number={3},
  pages={1372-1394},
  doi={10.1214/16-AAP1231},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85025140491&doi=10.1214%2f16-AAP1231&partnerID=40&md5=81d1fbcc5838fadaf255b4ca1f086136},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin and J. Ridgway, “Leave pima indians alone: binary regression as a benchmark for bayesian computation,” Statistical science, vol. 32, iss. 1, pp. 64-87, 2017.
  [Bibtex]

  @ARTICLE{Chopin201764,
  author={Chopin, N. and Ridgway, J.},
  title={Leave pima Indians alone: Binary regression as a benchmark for Bayesian computation},
  journal={Statistical Science},
  year={2017},
  volume={32},
  number={1},
  pages={64-87},
  doi={10.1214/16-STS581},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017376369&doi=10.1214%2f16-STS581&partnerID=40&md5=21275e660e1dcb5f5c11c35355c572ae},
  document_type={Article},
  source={Scopus},
  }

• O. Collier, L. Comminges, and A. B. Tsybakov, “Minimax estimation of linear and quadratic functionals on sparsity classes,” Annals of statistics, vol. 45, iss. 3, pp. 923-958, 2017.
  [Bibtex]

  @ARTICLE{Collier2017923,
  author={Collier, O. and Comminges, L. and Tsybakov, A.B.},
  title={Minimax estimation of linear and quadratic functionals on sparsity classes},
  journal={Annals of Statistics},
  year={2017},
  volume={45},
  number={3},
  pages={923-958},
  doi={10.1214/15-AOS1432},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020631616&doi=10.1214%2f15-AOS1432&partnerID=40&md5=f68e9f442d7dcc58d7b5fd391bc7b952},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, “Theoretical guarantees for approximate sampling from smooth and log-concave densities,” Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 651-676, 2017.
  [Bibtex]

  @ARTICLE{Dalalyan2017651,
  author={Dalalyan, A.S.},
  title={Theoretical guarantees for approximate sampling from smooth and log-concave densities},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2017},
  volume={79},
  number={3},
  pages={651-676},
  doi={10.1111/rssb.12183},
  note={cited By 54},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018851800&doi=10.1111%2frssb.12183&partnerID=40&md5=7c7fc831ab0b47fda13b16b46538cdaa},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, M. Hebiri, and J. Lederer, “On the prediction performance of the lasso,” Bernoulli, vol. 23, iss. 1, pp. 552-581, 2017.
  [Bibtex]

  @ARTICLE{Dalalyan2017552,
  author={Dalalyan, A.S. and Hebiri, M. and Lederer, J.},
  title={On the prediction performance of the Lasso},
  journal={Bernoulli},
  year={2017},
  volume={23},
  number={1},
  pages={552-581},
  doi={10.3150/15-BEJ756},
  note={cited By 42},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991786871&doi=10.3150%2f15-BEJ756&partnerID=40&md5=58154c2dae197087a07bbcbc9798eb03},
  document_type={Article},
  source={Scopus},
  }

• H. -P. Dang and P. Chainais, “Indian buffet process dictionary learning: algorithms and applications to image processing,” International journal of approximate reasoning, vol. 83, pp. 1-20, 2017.
  [Bibtex]

  @ARTICLE{Dang20171,
  author={Dang, H.-P. and Chainais, P.},
  title={Indian Buffet Process dictionary learning: Algorithms and applications to image processing},
  journal={International Journal of Approximate Reasoning},
  year={2017},
  volume={83},
  pages={1-20},
  doi={10.1016/j.ijar.2016.12.010},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009371868&doi=10.1016%2fj.ijar.2016.12.010&partnerID=40&md5=0b9fd980023e34376ceacc16f476b937},
  document_type={Article},
  source={Scopus},
  }

• C. Denis and M. Hebiri, “Confidence sets with expected sizes for multiclass classification,” Journal of machine learning research, vol. 18, iss. None, pp. 1-28, 2017.
  [Bibtex]

  @ARTICLE{Denis2017ConfidenceClassification,
  author={Christophe Denis and Mohamed Hebiri},
  title={Confidence sets with expected sizes for multiclass Classification},
  journal={Journal of Machine Learning Research},
  year={2017},
  volume={18},
  number={None},
  pages={1-28},
  }

• C. Denis and M. Hebiri, “Confidence sets with expected sizes for multiclass classification,” Journal of machine learning research, vol. 18, pp. 1-28, 2017.
  [Bibtex]

  @ARTICLE{Denis20171,
  author={Denis, C. and Hebiri, M.},
  title={Confidence sets with expected sizes for multiclass Classification},
  journal={Journal of Machine Learning Research},
  year={2017},
  volume={18},
  pages={1-28},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032965131&partnerID=40&md5=350270206498a3eff60f49b1e7dced44},
  document_type={Article},
  source={Scopus},
  }

• M. Falk and G. Stupfler, “An offspring of multivariate extreme value theory: the max-characteristic function,” Journal of multivariate analysis, vol. 154, pp. 85-95, 2017.
  [Bibtex]

  @ARTICLE{Falk201785,
  author={Falk, M. and Stupfler, G.},
  title={An offspring of multivariate extreme value theory: The max-characteristic function},
  journal={Journal of Multivariate Analysis},
  year={2017},
  volume={154},
  pages={85-95},
  doi={10.1016/j.jmva.2016.10.007},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994804685&doi=10.1016%2fj.jmva.2016.10.007&partnerID=40&md5=2e68c4f99f8fde0d5a8a1d909060da2a},
  document_type={Article},
  source={Scopus},
  }

• S. Foucart and G. Lecue, “An iht algorithm for sparse recovery from subexponential measurements,” Ieee signal processing letters, vol. 24, iss. 9, pp. 1280-1283, 2017.
  [Bibtex]

  @ARTICLE{Foucart20171280,
  author={Foucart, S. and Lecue, G.},
  title={An IHT Algorithm for Sparse Recovery from Subexponential Measurements},
  journal={IEEE Signal Processing Letters},
  year={2017},
  volume={24},
  number={9},
  pages={1280-1283},
  doi={10.1109/LSP.2017.2721500},
  art_number={7962149},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85022037374&doi=10.1109%2fLSP.2017.2721500&partnerID=40&md5=74aa1ce570893e188b73409a790cd4ec},
  document_type={Article},
  source={Scopus},
  }

• M. Gerber and N. Chopin, “Convergence of sequential quasi-monte carlo smoothing algorithms,” Bernoulli, vol. 23, iss. 4B, pp. 2951-2987, 2017.
  [Bibtex]

  @ARTICLE{Gerber20172951,
  author={Gerber, M. and Chopin, N.},
  title={Convergence of sequential quasi-Monte Carlo smoothing algorithms},
  journal={Bernoulli},
  year={2017},
  volume={23},
  number={4B},
  pages={2951-2987},
  doi={10.3150/16-BEJ834},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019550080&doi=10.3150%2f16-BEJ834&partnerID=40&md5=e9071243d8e37633fe12e576baa2921d},
  document_type={Article},
  source={Scopus},
  }

• S. Girard and G. Stupfler, “Intriguing properties of extreme geometric quantiles,” Revstat statistical journal, vol. 15, iss. 1, pp. 107-139, 2017.
  [Bibtex]

  @ARTICLE{Girard2017IntriguingQuantiles,
  author={Stephane Girard and Gilles Stupfler},
  title={Intriguing properties of extreme geometric quantiles},
  journal={Revstat Statistical Journal},
  year={2017},
  volume={15},
  number={1},
  pages={107-139},
  }

• S. Girard and G. Stupfler, “Intriguing properties of extreme geometric quantiles,” Revstat statistical journal, vol. 15, iss. 1, pp. 107-139, 2017.
  [Bibtex]

  @ARTICLE{Girard2017107,
  author={Girard, S. and Stupfler, G.},
  title={Intriguing properties of extreme geometric quantiles},
  journal={Revstat Statistical Journal},
  year={2017},
  volume={15},
  number={1},
  pages={107-139},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011659657&partnerID=40&md5=01ca4bc264c64aeb4a3d070cdf28d9ac},
  document_type={Article},
  source={Scopus},
  }

• S. Hoderlein, L. Nesheim, and A. Simoni, “Semiparametric estimation of random coefficients in structural economic models,” Econometric theory, vol. 33, iss. 6, pp. 1265-1305, 2017.
  [Bibtex]

  @ARTICLE{Hoderlein20171265,
  author={Hoderlein, S. and Nesheim, L. and Simoni, A.},
  title={SEMIPARAMETRIC ESTIMATION of RANDOM COEFFICIENTS in STRUCTURAL ECONOMIC MODELS},
  journal={Econometric Theory},
  year={2017},
  volume={33},
  number={6},
  pages={1265-1305},
  doi={10.1017/S0266466616000396},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994076383&doi=10.1017%2fS0266466616000396&partnerID=40&md5=b16fef95bc8c9bea481aedc72c7d56f0},
  document_type={Article},
  source={Scopus},
  }

• M. Hristache and V. Patilea, “Conditional moment models with data missing at random,” Biometrika, vol. 104, iss. 3, pp. 735-742, 2017.
  [Bibtex]

  @ARTICLE{Hristache2017735,
  author={Hristache, M. and Patilea, V.},
  title={Conditional moment models with data missing at random},
  journal={Biometrika},
  year={2017},
  volume={104},
  number={3},
  pages={735-742},
  doi={10.1093/biomet/asx025},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037138465&doi=10.1093%2fbiomet%2fasx025&partnerID=40&md5=762861bea953ec2668f85e85f9837dbb},
  document_type={Article},
  source={Scopus},
  }

• O. Klopp, K. Lounici, and A. B. Tsybakov, “Robust matrix completion,” Probability theory and related fields, vol. 169, iss. 1-2, pp. 523-564, 2017.
  [Bibtex]

  @ARTICLE{Klopp2017523,
  author={Klopp, O. and Lounici, K. and Tsybakov, A.B.},
  title={Robust matrix completion},
  journal={Probability Theory and Related Fields},
  year={2017},
  volume={169},
  number={1-2},
  pages={523-564},
  doi={10.1007/s00440-016-0736-y},
  note={cited By 26},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983445835&doi=10.1007%2fs00440-016-0736-y&partnerID=40&md5=b5bdbad468f45c041d2131821770f5d5},
  document_type={Article},
  source={Scopus},
  }

• O. Klopp, A. B. Tsybakov, and N. Verzelen, “Oracle inequalities for network models and sparse graphon estimation,” Annals of statistics, vol. 45, iss. 1, pp. 316-354, 2017.
  [Bibtex]

  @ARTICLE{Klopp2017316,
  author={Klopp, O. and Tsybakov, A.B. and Verzelen, N.},
  title={Oracle inequalities for network models and sparse graphon estimation},
  journal={Annals of Statistics},
  year={2017},
  volume={45},
  number={1},
  pages={316-354},
  doi={10.1214/16-AOS1454},
  note={cited By 25},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015023562&doi=10.1214%2f16-AOS1454&partnerID=40&md5=eccdbefa98c9cf5dfb3ebfa09a9f3c86},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Regularization and the small-ball method ii: complexity dependent error rates,” Journal of machine learning research, vol. 18, iss. None, p. -, 2017.
  [Bibtex]

  @ARTICLE{Lecue2017RegularizationRates,
  author={Guillaume Lecue and Shahar Mendelson},
  title={Regularization and the small-ball method II: Complexity dependent error rates},
  journal={Journal of Machine Learning Research},
  year={2017},
  volume={18},
  number={None},
  pages={-},
  }

• G. Lecue and S. Mendelson, “Regularization and the small-ball method ii: complexity dependent error rates,” Journal of machine learning research, vol. 18, 2017.
  [Bibtex]

  @ARTICLE{Lecue2017,
  author={Lecue, G. and Mendelson, S.},
  title={Regularization and the small-ball method II: Complexity dependent error rates},
  journal={Journal of Machine Learning Research},
  year={2017},
  volume={18},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040719961&partnerID=40&md5=cbb193dd40a2d6360bc088cb286d14ef},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Sparse recovery under weak moment assumptions,” Journal of the european mathematical society, vol. 19, iss. 3, pp. 881-904, 2017.
  [Bibtex]

  @ARTICLE{Lecue2017881,
  author={Lecue, G. and Mendelson, S.},
  title={Sparse recovery under weak moment assumptions},
  journal={Journal of the European Mathematical Society},
  year={2017},
  volume={19},
  number={3},
  pages={881-904},
  doi={10.4171/JEMS/682},
  note={cited By 19},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014487766&doi=10.4171%2fJEMS%2f682&partnerID=40&md5=e70da9b9ce1d0b275a62a685b64a9d13},
  document_type={Article},
  source={Scopus},
  }

• W. Li and V. Patilea, “A new minimum contrast approach for inference in single-index models,” Journal of multivariate analysis, vol. 158, pp. 47-59, 2017.
  [Bibtex]

  @ARTICLE{Li201747,
  author={Li, W. and Patilea, V.},
  title={A new minimum contrast approach for inference in single-index models},
  journal={Journal of Multivariate Analysis},
  year={2017},
  volume={158},
  pages={47-59},
  doi={10.1016/j.jmva.2017.03.009},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018473151&doi=10.1016%2fj.jmva.2017.03.009&partnerID=40&md5=6179e245074791b6b3b49720a1ce3763},
  document_type={Article},
  source={Scopus},
  }

• S. Maistre, P. Lavergne, and V. Patilea, “Powerful nonparametric checks for quantile regression,” Journal of statistical planning and inference, vol. 180, pp. 13-29, 2017.
  [Bibtex]

  @ARTICLE{Maistre201713,
  author={Maistre, S. and Lavergne, P. and Patilea, V.},
  title={Powerful nonparametric checks for quantile regression},
  journal={Journal of Statistical Planning and Inference},
  year={2017},
  volume={180},
  pages={13-29},
  doi={10.1016/j.jspi.2016.08.006},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994424567&doi=10.1016%2fj.jspi.2016.08.006&partnerID=40&md5=21ebadc2fcb911dfeb5be2472baa72b7},
  document_type={Article},
  source={Scopus},
  }

• J. E. Methni and G. Stupfler, “Extreme versions of wang risk measures and their estimation for heavy-tailed distributions,” Statistica sinica, vol. 27, iss. 2, pp. 907-930, 2017.
  [Bibtex]

  @ARTICLE{Methni2017907,
  author={Methni, J.E. and Stupfler, G.},
  title={Extreme versions of wang risk measures and their estimation for heavy-tailed distributions},
  journal={Statistica Sinica},
  year={2017},
  volume={27},
  number={2},
  pages={907-930},
  doi={10.5705/ss.202015.0460},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016305277&doi=10.5705%2fss.202015.0460&partnerID=40&md5=187107a39a4f25065a86e55eab8c4f78},
  document_type={Article},
  source={Scopus},
  }

• F. Navarro and A. Saumard, “Slope heuristics and v-fold model selection in heteroscedastic regression using strongly localized bases,” Esaim – probability and statistics, vol. 21, pp. 412-451, 2017.
  [Bibtex]

  @ARTICLE{Navarro2017412,
  author={Navarro, F. and Saumard, A.},
  title={Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases},
  journal={ESAIM - Probability and Statistics},
  year={2017},
  volume={21},
  pages={412-451},
  doi={10.1051/ps/2017005},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040310805&doi=10.1051%2fps%2f2017005&partnerID=40&md5=2b277d7ac84cb4c3f00519e40c1ff441},
  document_type={Article},
  source={Scopus},
  }

• C. J. Oates, M. Girolami, and N. Chopin, “Control functionals for monte carlo integration,” Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 3, pp. 695-718, 2017.
  [Bibtex]

  @ARTICLE{Oates2017695,
  author={Oates, C.J. and Girolami, M. and Chopin, N.},
  title={Control functionals for Monte Carlo integration},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2017},
  volume={79},
  number={3},
  pages={695-718},
  doi={10.1111/rssb.12185},
  note={cited By 61},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971325632&doi=10.1111%2frssb.12185&partnerID=40&md5=232a287ef8a5f8786f0e8d5a7e194dea},
  document_type={Article},
  source={Scopus},
  }

• A. Rakhlin, K. Sridharan, and A. B. Tsybakov, “Empirical entropy, minimax regret and minimax risk,” Bernoulli, vol. 23, iss. 2, pp. 789-824, 2017.
  [Bibtex]

  @ARTICLE{Rakhlin2017789,
  author={Rakhlin, A. and Sridharan, K. and Tsybakov, A.B.},
  title={Empirical entropy, minimax regret and minimax risk},
  journal={Bernoulli},
  year={2017},
  volume={23},
  number={2},
  pages={789-824},
  doi={10.3150/14-BEJ679},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012932326&doi=10.3150%2f14-BEJ679&partnerID=40&md5=8b2f2fe19eece3e4839088df390a43d9},
  document_type={Article},
  source={Scopus},
  }

• A. Ramdas, N. G. Trillos, and M. Cuturi, “On wasserstein two-sample testing and related families of nonparametric tests,” Entropy, vol. 19, iss. 2, 2017.
  [Bibtex]

  @ARTICLE{Ramdas2017,
  author={Ramdas, A. and Trillos, N.G. and Cuturi, M.},
  title={On wasserstein two-sample testing and related families of nonparametric tests},
  journal={Entropy},
  year={2017},
  volume={19},
  number={2},
  doi={10.3390/e19020047},
  art_number={47},
  note={cited By 27},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012289092&doi=10.3390%2fe19020047&partnerID=40&md5=a39c17c075aaccd3b2c39b5104274f0a},
  document_type={Article},
  source={Scopus},
  }

• M. Rio, N. Letto, and C. Butucea, “Exploratory use of structured assessment tools for the risk of recidivism in france [usage exploratoire d’outils d’evaluation structuree du risque de recidive en france],” Annales medico-psychologiques, vol. 175, iss. 3, pp. 287-289, 2017.
  [Bibtex]

  @ARTICLE{Rio2017287,
  author={Rio, M. and Letto, N. and Butucea, C.},
  title={Exploratory use of structured assessment tools for the risk of recidivism in France [Usage exploratoire d'outils d'evaluation structuree du risque de recidive en France]},
  journal={Annales Medico-Psychologiques},
  year={2017},
  volume={175},
  number={3},
  pages={287-289},
  doi={10.1016/j.amp.2017.01.014},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85013471751&doi=10.1016%2fj.amp.2017.01.014&partnerID=40&md5=8b69cc67b6d94fd3990db8dc05c1d974},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models,” Journal of the royal statistical society. series b: statistical methodology, vol. 79, iss. 5, pp. 1391-1414, 2017.
  [Bibtex]

  @ARTICLE{Truquet20171391,
  author={Truquet, L.},
  title={Parameter stability and semiparametric inference in time varying auto-regressive conditional heteroscedasticity models},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2017},
  volume={79},
  number={5},
  pages={1391-1414},
  doi={10.1111/rssb.12221},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85004045082&doi=10.1111%2frssb.12221&partnerID=40&md5=267a6f2d9a8074d2ca31f6d240ee5ec8},
  document_type={Article},
  source={Scopus},
  }

2016

• C. Schretter, Z. He, M. Gerber, N. Chopin, and H. Niederreiter, “Van der corput and golden ratio sequences along the hilbert space-filling curve.” , 2016.
  [Bibtex]

  @incollection{schretter:hal-02391228,
  author={Schretter, Colas and He, Zhijian and Gerber, Mathieu and Chopin, Nicolas and Niederreiter, Harald},
  title={Van der Corput and Golden Ratio Sequences Along the Hilbert Space-Filling Curve},
  journal={},
  year={2016},
  }

• N. Bonneel, G. Peyre, and M. Cuturi, “Wasserstein barycentric coordinates: histogram regression using optimal transport,” Acm transactions on graphics, 2016.
  [Bibtex]

  @article{bonneel:hal-01303148,
  author={Bonneel, Nicolas and Peyre, Gabriel and Cuturi, Marco},
  title={Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport},
  journal={ACM Transactions on Graphics},
  year={2016},
  }

• M. Lerasle and D. Y. Takahashi, “Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields.,” Bernoulli, 2016.
  [Bibtex]

  @article{lerasle:hal-01059692,
  author={Lerasle, Matthieu and Takahashi, D.Y.},
  title={Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields.},
  journal={Bernoulli},
  year={2016},
  }

• L. Devroye, M. Lerasle, G. Lugosi, and R. I. Oliveira, “Sub-gaussian mean estimators,” Annals of statistics, 2016.
  [Bibtex]

  @article{devroye:hal-01204519,
  author={Devroye, Luc and Lerasle, Matthieu and Lugosi, Gabor and Oliveira, Roberto I.},
  title={Sub-Gaussian mean estimators},
  journal={Annals of Statistics},
  year={2016},
  }

• M. Fromont, M. Lerasle, and P. Reynaud-Bouret, “Family wise separation rates for multiple testing,” Annals of statistics, 2016.
  [Bibtex]

  @article{fromont:hal-01107321,
  author={Fromont, Magalie and Lerasle, Matthieu and Reynaud-Bouret, Patricia},
  title={Family wise separation rates for multiple testing},
  journal={Annals of Statistics},
  year={2016},
  }

• V. Patilea, C. Sanchez-Sellero, and M. Saumard, “Testing the predictor effect on a functional response,” Journal of the american statistical association, 2016.
  [Bibtex]

  @article{patilea:hal-02991023,
  author={Patilea, Valentin and Sanchez-Sellero, Cesar and Saumard, Matthieu},
  title={Testing the Predictor Effect on a Functional Response},
  journal={Journal of the American Statistical Association},
  year={2016},
  }

• J. Kwon and V. Perchet, “Gains and losses are fundamentally different in regret minimization: the sparse case,” Journal of machine learning research, 2016.
  [Bibtex]

  @article{kwon:hal-02630070,
  author={Kwon, Joon and Perchet, Vianney},
  title={Gains and losses are fundamentally different in regret minimization: the sparse case},
  journal={Journal of Machine Learning Research},
  year={2016},
  }

• J. Florens and A. Simoni, “Regularizing priors for linear inverse problems,” Econometric theory, 2016.
  [Bibtex]

  @article{florens:hal-03089887,
  author={Florens, Jean-Pierre and Simoni, Anna},
  title={REGULARIZING PRIORS FOR LINEAR INVERSE PROBLEMS},
  journal={Econometric Theory},
  year={2016},
  }

• G. Stupfler, “Estimating the conditional extreme-value index under random right-censoring,” Journal of multivariate analysis, 2016.
  [Bibtex]

  @article{stupfler:hal-01446199,
  author={Stupfler, Gilles},
  title={Estimating the conditional extreme-value index under random right-censoring},
  journal={Journal of Multivariate Analysis},
  year={2016},
  }

• G. Stupfler, “On the weak convergence of the kernel density estimator in the uniform topology,” Electronic communications in probability, 2016.
  [Bibtex]

  @article{stupfler:hal-01447844,
  author={Stupfler, Gilles},
  title={On the weak convergence of the kernel density estimator in the uniform topology},
  journal={Electronic Communications in Probability},
  year={2016},
  }

• S. Geffray, N. Klutchnikoff, and M. Vimond, “Illumination problems in digital images. a statistical point of view,” Journal of multivariate analysis, 2016.
  [Bibtex]

  @article{geffray:hal-01366815,
  author={Geffray, Segolen and Klutchnikoff, Nicolas and Vimond, Myriam},
  title={Illumination problems in digital images. A statistical point of view},
  journal={Journal of Multivariate Analysis},
  year={2016},
  }

• P. Abbal, J. -M. Sablayrolles, e. Matzner-Lober, J. -M. Boursiquot, C. Baudrit, and A. Carbonneau, “A decision support system for vine growers based on a bayesian network,” Journal of agricultural, biological, and environmental statistics, vol. 21, iss. 1, pp. 131-151, 2016.
  [Bibtex]

  @ARTICLE{Abbal2016131,
  author={Abbal, P. and Sablayrolles, J.-M. and Matzner-Lober, e. and Boursiquot, J.-M. and Baudrit, C. and Carbonneau, A.},
  title={A Decision Support System for Vine Growers Based on a Bayesian Network},
  journal={Journal of Agricultural, Biological, and Environmental Statistics},
  year={2016},
  volume={21},
  number={1},
  pages={131-151},
  doi={10.1007/s13253-015-0233-2},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958048752&doi=10.1007%2fs13253-015-0233-2&partnerID=40&md5=5fc2461994386f77ffe4869aa04ca86d},
  document_type={Article},
  source={Scopus},
  }

• P. Alquier, J. Ridgway, and N. Chopin, “On the properties of variational approximations of gibbs posteriors,” Journal of machine learning research, vol. 17, iss. None, pp. 1-41, 2016.
  [Bibtex]

  @ARTICLE{Alquier2016OnPosteriors,
  author={Pierre Alquier and James Ridgway and Nicolas Chopin},
  title={On the properties of variational approximations of Gibbs posteriors},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  number={None},
  pages={1-41},
  }

• P. Alquier, J. Ridgway, and N. Chopin, “On the properties of variational approximations of gibbs posteriors,” Journal of machine learning research, vol. 17, pp. 1-41, 2016.
  [Bibtex]

  @ARTICLE{Alquier20161,
  author={Alquier, P. and Ridgway, J. and Chopin, N.},
  title={On the properties of variational approximations of Gibbs posteriors},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  pages={1-41},
  note={cited By 24},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011655065&partnerID=40&md5=f67f381d1208016bb226006c552d1502},
  document_type={Review},
  source={Scopus},
  }

• S. Arlot and M. Lerasle, “Choice of v for v-fold cross-validation in least-squares density estimation,” Journal of machine learning research, vol. 17, iss. None, pp. 1-50, 2016.
  [Bibtex]

  @ARTICLE{Arlot2016ChoiceEstimation,
  author={Sylvain Arlot and Matthieu Lerasle},
  title={Choice of v for V-fold cross-validation in least-squares density estimation},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  number={None},
  pages={1-50},
  }

• S. Arlot and M. Lerasle, “Choice of v for v-fold cross-validation in least-squares density estimation,” Journal of machine learning research, vol. 17, pp. 1-50, 2016.
  [Bibtex]

  @ARTICLE{Arlot20161,
  author={Arlot, S. and Lerasle, M.},
  title={Choice of v for V-fold cross-validation in least-squares density estimation},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  pages={1-50},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008312062&partnerID=40&md5=3ca72577839bdff3ad19b3bd94b3fb7e},
  document_type={Article},
  source={Scopus},
  }

• F. Bach and V. Perchet, “Highly-smooth zero-th order online optimization,” Journal of machine learning research, vol. 49, iss. June, pp. 257-283, 2016.
  [Bibtex]

  @ARTICLE{Bach2016Highly-SmoothOptimization,
  author={Francis Bach and Vianney Perchet},
  title={Highly-smooth zero-th order online optimization},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={257-283},
  }

• F. Bach and V. Perchet, “Highly-smooth zero-th order online optimization,” Journal of machine learning research, vol. 49, iss. June, pp. 257-283, 2016.
  [Bibtex]

  @ARTICLE{Bach2016257,
  author={Bach, F. and Perchet, V.},
  title={Highly-smooth zero-th order online optimization},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={257-283},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072242088&partnerID=40&md5=424dc5ac75c56eb0ee21af422a235404},
  document_type={Conference Paper},
  source={Scopus},
  }

• S. Balmand and A. S. Dalalyan, “On estimation of the diagonal elements of a sparse precision matrix,” Electronic journal of statistics, vol. 10, iss. 1, pp. 1551-1579, 2016.
  [Bibtex]

  @ARTICLE{Balmand20161551,
  author={Balmand, S. and Dalalyan, A.S.},
  title={On estimation of the diagonal elements of a sparse precision matrix},
  journal={Electronic Journal of Statistics},
  year={2016},
  volume={10},
  number={1},
  pages={1551-1579},
  doi={10.1214/16-EJS1148},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973351698&doi=10.1214%2f16-EJS1148&partnerID=40&md5=0d87b2626caf9d456d3e00d4eec252f7},
  document_type={Article},
  source={Scopus},
  }

• A. Belloni, M. Rosenbaum, and A. B. Tsybakov, “An â„“1, â„“2, ℓ∞-regularization approach to high-dimensional errors-in-variables models,” Electronic journal of statistics, vol. 10, iss. 2, pp. 1729-1750, 2016.
  [Bibtex]

  @ARTICLE{Belloni20161729,
  author={Belloni, A. and Rosenbaum, M. and Tsybakov, A.B.},
  title={An {ℓ1, ℓ2, ℓ∞}-regularization approach to high-dimensional errors-in-variables models},
  journal={Electronic Journal of Statistics},
  year={2016},
  volume={10},
  number={2},
  pages={1729-1750},
  doi={10.1214/15-EJS1095},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978696374&doi=10.1214%2f15-EJS1095&partnerID=40&md5=d431a664d415922fac31faa87ca28276},
  document_type={Article},
  source={Scopus},
  }

• N. Bonneel, G. Peyre, and M. Cuturi, “Wasserstein barycentric coordinates: histogram regression using optimal transport,” Acm transactions on graphics, vol. 35, iss. 4, 2016.
  [Bibtex]

  @ARTICLE{Bonneel2016,
  author={Bonneel, N. and Peyre, G. and Cuturi, M.},
  title={Wasserstein barycentric coordinates: Histogram regression using optimal transport},
  journal={ACM Transactions on Graphics},
  year={2016},
  volume={35},
  number={4},
  doi={10.1145/2897824.2925918},
  art_number={a71},
  note={cited By 32},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979970338&doi=10.1145%2f2897824.2925918&partnerID=40&md5=e3210d9442e9affc2140723e6a53d159},
  document_type={Conference Paper},
  source={Scopus},
  }

• V. -E. Brunel, “Adaptive estimation of convex and polytopal density support,” Probability theory and related fields, vol. 164, iss. 1-2, pp. 1-16, 2016.
  [Bibtex]

  @ARTICLE{Brunel20161,
  author={Brunel, V.-E.},
  title={Adaptive estimation of convex and polytopal density support},
  journal={Probability Theory and Related Fields},
  year={2016},
  volume={164},
  number={1-2},
  pages={1-16},
  doi={10.1007/s00440-014-0605-5},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955411155&doi=10.1007%2fs00440-014-0605-5&partnerID=40&md5=5cf42f5bd36613dd43b5283f5e9586fa},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and G. Gayraud, “Sharp detection of smooth signals in a high-dimensional sparsematrix with indirect observations,” Annales de l’institut henri poincare (b) probability and statistics, vol. 52, iss. 4, pp. 1564-1591, 2016.
  [Bibtex]

  @ARTICLE{Butucea20161564,
  author={Butucea, C. and Gayraud, G.},
  title={Sharp detection of smooth signals in a high-dimensional sparsematrix with indirect observations},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2016},
  volume={52},
  number={4},
  pages={1564-1591},
  doi={10.1214/15-AIHP689},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997079514&doi=10.1214%2f15-AIHP689&partnerID=40&md5=a52181e209ae86ec809819137666d527},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. Guta, and T. Kypraios, “Erratum: spectral thresholding quantum tomography for low rank states (new journal of physics (2015) 17 (113050)),” New journal of physics, vol. 18, iss. 6, 2016.
  [Bibtex]

  @ARTICLE{Butucea2016,
  author={Butucea, C. and Guta, M. and Kypraios, T.},
  title={Erratum: Spectral thresholding quantum tomography for low rank states (New Journal of Physics (2015) 17 (113050))},
  journal={New Journal of Physics},
  year={2016},
  volume={18},
  number={6},
  doi={10.1088/1367-2630/18/6/069501},
  art_number={069501},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976877594&doi=10.1088%2f1367-2630%2f18%2f6%2f069501&partnerID=40&md5=cddd751581e3630167f4290dc70a047d},
  document_type={Erratum},
  source={Scopus},
  }

• C. Butucea and R. Zgheib, “Sharp minimax tests for large toeplitz covariance matrices with repeated observations,” Journal of multivariate analysis, vol. 146, pp. 164-176, 2016.
  [Bibtex]

  @ARTICLE{Butucea2016164,
  author={Butucea, C. and Zgheib, R.},
  title={Sharp minimax tests for large Toeplitz covariance matrices with repeated observations},
  journal={Journal of Multivariate Analysis},
  year={2016},
  volume={146},
  pages={164-176},
  doi={10.1016/j.jmva.2015.09.003},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951805901&doi=10.1016%2fj.jmva.2015.09.003&partnerID=40&md5=a66ac7661c4709619f26eb02f81a497c},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and R. Zgheib, “Sharp minimax tests for large covariance matrices and adaptation,” Electronic journal of statistics, vol. 10, iss. 2, pp. 1927-1972, 2016.
  [Bibtex]

  @ARTICLE{Butucea20161927,
  author={Butucea, C. and Zgheib, R.},
  title={Sharp minimax tests for large covariance matrices and adaptation},
  journal={Electronic Journal of Statistics},
  year={2016},
  volume={10},
  number={2},
  pages={1927-1972},
  doi={10.1214/16-EJS1143},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978698631&doi=10.1214%2f16-EJS1143&partnerID=40&md5=c1fd27b141d707a87ff494d3ac36df57},
  document_type={Article},
  source={Scopus},
  }

• O. Collier and A. S. Dalalyan, “Minimax rates in permutation estimation for feature matching,” Journal of machine learning research, vol. 17, iss. None, p. -, 2016.
  [Bibtex]

  @ARTICLE{Collier2016MinimaxMatching,
  author={Olivier Collier and Arnak S. Dalalyan},
  title={Minimax rates in permutation estimation for feature matching},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  number={None},
  pages={-},
  }

• O. Collier and A. S. Dalalyan, “Minimax rates in permutation estimation for feature matching,” Journal of machine learning research, vol. 17, 2016.
  [Bibtex]

  @ARTICLE{Collier2016,
  author={Collier, O. and Dalalyan, A.S.},
  title={Minimax rates in permutation estimation for feature matching},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962408596&partnerID=40&md5=b764c60aedeb371c5686be2acc2c6ad2},
  document_type={Article},
  source={Scopus},
  }

• M. Cuturi and G. Peyre, “A smoothed dual approach for variational wasserstein problems,” Siam journal on imaging sciences, vol. 9, iss. 1, pp. 320-343, 2016.
  [Bibtex]

  @ARTICLE{Cuturi2016320,
  author={Cuturi, M. and Peyre, G.},
  title={A smoothed dual approach for variational wasserstein problems},
  journal={SIAM Journal on Imaging Sciences},
  year={2016},
  volume={9},
  number={1},
  pages={320-343},
  doi={10.1137/15M1032600},
  note={cited By 46},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962147170&doi=10.1137%2f15M1032600&partnerID=40&md5=1a4f7c76350f2bdfc603449c9a78f4a6},
  document_type={Article},
  source={Scopus},
  }

• L. Devroye, M. Lerasle, G. Lugosi, and R. I. Oliveira, “Sub-gaussian mean estimators,” Annals of statistics, vol. 44, iss. 6, pp. 2695-2725, 2016.
  [Bibtex]

  @ARTICLE{Devroye20162695,
  author={Devroye, L. and Lerasle, M. and Lugosi, G. and Oliveira, R.I.},
  title={Sub-Gaussian mean estimators},
  journal={Annals of Statistics},
  year={2016},
  volume={44},
  number={6},
  pages={2695-2725},
  doi={10.1214/16-AOS1440},
  note={cited By 29},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999767783&doi=10.1214%2f16-AOS1440&partnerID=40&md5=9e0a4d1453c1e209b6aafe5607025ed7},
  document_type={Article},
  source={Scopus},
  }

• J. Flesch, R. Laraki, and V. Perchet, “Online learning and blackwell approachability in quitting games,” Journal of machine learning research, vol. 49, iss. June, pp. 941-942, 2016.
  [Bibtex]

  @ARTICLE{Flesch2016OnlineGames,
  author={János Flesch and Rida Laraki and Vianney Perchet},
  title={Online learning and blackwell approachability in quitting games},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={941-942},
  }

• J. Flesch, R. Laraki, and V. Perchet, “Online learning and blackwell approachability in quitting games,” Journal of machine learning research, vol. 49, iss. June, pp. 941-942, 2016.
  [Bibtex]

  @ARTICLE{Flesch2016941,
  author={Flesch, J. and Laraki, R. and Perchet, V.},
  title={Online learning and blackwell approachability in quitting games},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={941-942},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072265218&partnerID=40&md5=8cbd34ada7d68258ebee12aeb0804c5f},
  document_type={Conference Paper},
  source={Scopus},
  }

• M. Fromont, M. Lerasle, and P. Reynaud-Bouret, “Family-wise separation rates for multiple testing,” Annals of statistics, vol. 44, iss. 6, pp. 2533-2563, 2016.
  [Bibtex]

  @ARTICLE{Fromont20162533,
  author={Fromont, M. and Lerasle, M. and Reynaud-Bouret, P.},
  title={Family-wise separation rates for multiple testing},
  journal={Annals of Statistics},
  year={2016},
  volume={44},
  number={6},
  pages={2533-2563},
  doi={10.1214/15-AOS1418},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999853127&doi=10.1214%2f15-AOS1418&partnerID=40&md5=e531475f9568776986782831284e0767},
  document_type={Article},
  source={Scopus},
  }

• S. Geffray, N. Klutchnikoff, and M. Vimond, “Illumination problems in digital images. a statistical point of view,” Journal of multivariate analysis, vol. 150, pp. 191-213, 2016.
  [Bibtex]

  @ARTICLE{Geffray2016191,
  author={Geffray, S. and Klutchnikoff, N. and Vimond, M.},
  title={Illumination problems in digital images. A statistical point of view},
  journal={Journal of Multivariate Analysis},
  year={2016},
  volume={150},
  pages={191-213},
  doi={10.1016/j.jmva.2016.05.001},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84975842678&doi=10.1016%2fj.jmva.2016.05.001&partnerID=40&md5=1fe6104e3f769f67b75958639b5d6743},
  document_type={Article},
  source={Scopus},
  }

• F. Guillou, R. Gaudel, and P. Preux, “Large-scale bandit recommender system,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 10122 LNCS, pp. 204-215, 2016.
  [Bibtex]

  @ARTICLE{Guillou2016204,
  author={Guillou, F. and Gaudel, R. and Preux, P.},
  title={Large-scale bandit recommender system},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2016},
  volume={10122 LNCS},
  pages={204-215},
  doi={10.1007/978-3-319-51469-7_17},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009495393&doi=10.1007%2f978-3-319-51469-7_17&partnerID=40&md5=8f40e93127b9bcc4159e36adeaf5686b},
  document_type={Conference Paper},
  source={Scopus},
  }

• F. Guillou, R. Gaudel, and P. Preux, “Sequential collaborative ranking using (no-)click implicit feedback,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9948 LNCS, pp. 288-296, 2016.
  [Bibtex]

  @ARTICLE{Guillou2016288,
  author={Guillou, F. and Gaudel, R. and Preux, P.},
  title={Sequential collaborative ranking using (No-)click implicit feedback},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2016},
  volume={9948 LNCS},
  pages={288-296},
  doi={10.1007/978-3-319-46672-9_33},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992646496&doi=10.1007%2f978-3-319-46672-9_33&partnerID=40&md5=eb0dfe215f1f13ee146f32c424e8db50},
  document_type={Conference Paper},
  source={Scopus},
  }

• L. Hatton, P. Charpentier, and E. Matzner-Lober, “Statistical estimation of the residential baseline,” Ieee transactions on power systems, vol. 31, iss. 3, pp. 1752-1759, 2016.
  [Bibtex]

  @ARTICLE{Hatton20161752,
  author={Hatton, L. and Charpentier, P. and Matzner-Lober, E.},
  title={Statistical Estimation of the Residential Baseline},
  journal={IEEE Transactions on Power Systems},
  year={2016},
  volume={31},
  number={3},
  pages={1752-1759},
  doi={10.1109/TPWRS.2015.2453889},
  art_number={7225189},
  note={cited By 32},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940702161&doi=10.1109%2fTPWRS.2015.2453889&partnerID=40&md5=e87f72a022f5b68b2379e39fee40811e},
  document_type={Article},
  source={Scopus},
  }

• M. Hristache and V. Patilea, “Semiparametric efficiency bounds for conditional moment restriction models with different conditioning variables,” Econometric theory, vol. 32, iss. 4, pp. 917-946, 2016.
  [Bibtex]

  @ARTICLE{Hristache2016917,
  author={Hristache, M. and Patilea, V.},
  title={SEMIPARAMETRIC EFFICIENCY BOUNDS for CONDITIONAL MOMENT RESTRICTION MODELS with DIFFERENT CONDITIONING VARIABLES},
  journal={Econometric Theory},
  year={2016},
  volume={32},
  number={4},
  pages={917-946},
  doi={10.1017/S0266466615000080},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927924291&doi=10.1017%2fS0266466615000080&partnerID=40&md5=2c2bf3e140f206c21193897e2e44a467},
  document_type={Article},
  source={Scopus},
  }

• V. Koltchinskii, K. Lounici, and A. B. Tsybakov, “Estimation of low-rank covariance function,” Stochastic processes and their applications, vol. 126, iss. 12, pp. 3952-3967, 2016.
  [Bibtex]

  @ARTICLE{Koltchinskii20163952,
  author={Koltchinskii, V. and Lounici, K. and Tsybakov, A.B.},
  title={Estimation of low-rank covariance function},
  journal={Stochastic Processes and their Applications},
  year={2016},
  volume={126},
  number={12},
  pages={3952-3967},
  doi={10.1016/j.spa.2016.04.006},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969964130&doi=10.1016%2fj.spa.2016.04.006&partnerID=40&md5=1e3350a5864e8537e16742ef89b95e9d},
  document_type={Article},
  source={Scopus},
  }

• J. Kwon and V. Perchet, “Gains and losses are fundamentally different in regret minimization: the sparse case,” Journal of machine learning research, vol. 17, iss. None, pp. 1-32, 2016.
  [Bibtex]

  @ARTICLE{Kwon2016GainsCase,
  author={Joon Kwon and Vianney Perchet},
  title={Gains and losses are fundamentally different in regret minimization: The sparse case},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  number={None},
  pages={1-32},
  }

• J. Kwon and V. Perchet, “Gains and losses are fundamentally different in regret minimization: the sparse case,” Journal of machine learning research, vol. 17, pp. 1-32, 2016.
  [Bibtex]

  @ARTICLE{Kwon20161,
  author={Kwon, J. and Perchet, V.},
  title={Gains and losses are fundamentally different in regret minimization: The sparse case},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={17},
  pages={1-32},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008323985&partnerID=40&md5=6c62f9c689961a2ffe30a3609a550ce3},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Performance of empirical risk minimization in linear aggregation,” Bernoulli, vol. 22, iss. 3, pp. 1520-1534, 2016.
  [Bibtex]

  @ARTICLE{Lecue20161520,
  author={Lecue, G. and Mendelson, S.},
  title={Performance of empirical risk minimization in linear aggregation},
  journal={Bernoulli},
  year={2016},
  volume={22},
  number={3},
  pages={1520-1534},
  doi={10.3150/15-BEJ701},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964534021&doi=10.3150%2f15-BEJ701&partnerID=40&md5=2f747244317130aacdaac4260d83972e},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle and D. Y. Takahashi, “Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields,” Bernoulli, vol. 22, iss. 1, pp. 325-344, 2016.
  [Bibtex]

  @ARTICLE{Lerasle2016325,
  author={Lerasle, M. and Takahashi, D.Y.},
  title={Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields},
  journal={Bernoulli},
  year={2016},
  volume={22},
  number={1},
  pages={325-344},
  doi={10.3150/14-BEJ660},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014024342&doi=10.3150%2f14-BEJ660&partnerID=40&md5=3ac7c5f5419482be37042228271c0357},
  document_type={Article},
  source={Scopus},
  }

• G. Merle, J. -M. Roussel, J. -J. Lesage, V. Perchet, and N. Vayatis, “Quantitative analysis of dynamic fault trees based on the coupling of structure functions and monte carlo simulation,” Quality and reliability engineering international, vol. 32, iss. 1, pp. 7-18, 2016.
  [Bibtex]

  @ARTICLE{Merle20167,
  author={Merle, G. and Roussel, J.-M. and Lesage, J.-J. and Perchet, V. and Vayatis, N.},
  title={Quantitative Analysis of Dynamic Fault Trees Based on the Coupling of Structure Functions and Monte Carlo Simulation},
  journal={Quality and Reliability Engineering International},
  year={2016},
  volume={32},
  number={1},
  pages={7-18},
  doi={10.1002/qre.1728},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955584151&doi=10.1002%2fqre.1728&partnerID=40&md5=9bc68ee68525f2ec3f7383c70bf32a76},
  document_type={Review},
  source={Scopus},
  }

• V. Patilea, C. Sánchez-Sellero, and M. Saumard, “Testing the predictor effect on a functional response,” Journal of the american statistical association, vol. 111, iss. 516, pp. 1684-1695, 2016.
  [Bibtex]

  @ARTICLE{Patilea20161684,
  author={Patilea, V. and Sánchez-Sellero, C. and Saumard, M.},
  title={Testing the Predictor Effect on a Functional Response},
  journal={Journal of the American Statistical Association},
  year={2016},
  volume={111},
  number={516},
  pages={1684-1695},
  doi={10.1080/01621459.2015.1110031},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010676976&doi=10.1080%2f01621459.2015.1110031&partnerID=40&md5=166278f9442de5c90d5802f27a52ebe9},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, P. Rigollet, S. Chassang, and E. Snowberg, “Batched bandit problems,” Annals of statistics, vol. 44, iss. 2, pp. 660-681, 2016.
  [Bibtex]

  @ARTICLE{Perchet2016660,
  author={Perchet, V. and Rigollet, P. and Chassang, S. and Snowberg, E.},
  title={Batched bandit problems},
  journal={Annals of Statistics},
  year={2016},
  volume={44},
  number={2},
  pages={660-681},
  doi={10.1214/15-AOS1381},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963656247&doi=10.1214%2f15-AOS1381&partnerID=40&md5=8aa47d56688f10843ca19374cf31b08a},
  document_type={Article},
  source={Scopus},
  }

• E. Rault, T. Lacornerie, H. -P. Dang, F. Crop, E. Lartigau, N. Reynaert, and D. Pasquier, “Accelerated partial breast irradiation using robotic radiotherapy: a dosimetric comparison with tomotherapy and threedimensional conformal radiotherapy,” Radiation oncology, vol. 11, iss. 1, 2016.
  [Bibtex]

  @ARTICLE{Rault2016,
  author={Rault, E. and Lacornerie, T. and Dang, H.-P. and Crop, F. and Lartigau, E. and Reynaert, N. and Pasquier, D.},
  title={Accelerated partial breast irradiation using robotic radiotherapy: A dosimetric comparison with tomotherapy and threedimensional conformal radiotherapy},
  journal={Radiation Oncology},
  year={2016},
  volume={11},
  number={1},
  doi={10.1186/S13014-016-0607-9},
  art_number={29},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007507178&doi=10.1186%2fS13014-016-0607-9&partnerID=40&md5=32375ce55b8082d3b5276e2aefc44bd2},
  document_type={Article},
  source={Scopus},
  }

• N. A. Stepanova and A. B. Tsybakov, “Discussion of influential features pca for high dimensional clustering,” Annals of statistics, vol. 44, iss. 6, pp. 2382-2386, 2016.
  [Bibtex]

  @ARTICLE{Stepanova20162382,
  author={Stepanova, N.A. and Tsybakov, A.B.},
  title={Discussion of influential features PCA for high dimensional clustering},
  journal={Annals of Statistics},
  year={2016},
  volume={44},
  number={6},
  pages={2382-2386},
  doi={10.1214/16-AOS1423D},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999648344&doi=10.1214%2f16-AOS1423D&partnerID=40&md5=8459299f242c9e8d2aba3e9f09ec62c5},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “Estimating the conditional extreme-value index under random right-censoring,” Journal of multivariate analysis, vol. 144, pp. 1-24, 2016.
  [Bibtex]

  @ARTICLE{Stupfler20161,
  author={Stupfler, G.},
  title={Estimating the conditional extreme-value index under random right-censoring},
  journal={Journal of Multivariate Analysis},
  year={2016},
  volume={144},
  pages={1-24},
  doi={10.1016/j.jmva.2015.10.015},
  note={cited By 15},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947726629&doi=10.1016%2fj.jmva.2015.10.015&partnerID=40&md5=1b59f87c96f33002d300643e7b50c73a},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “On the weak convergence of the kernel density estimator in the uniform topology,” Electronic communications in probability, vol. 21, 2016.
  [Bibtex]

  @ARTICLE{Stupfler2016,
  author={Stupfler, G.},
  title={On the weak convergence of the kernel density estimator in the uniform topology},
  journal={Electronic Communications in Probability},
  year={2016},
  volume={21},
  doi={10.1214/16-ECP4638},
  art_number={17},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964319597&doi=10.1214%2f16-ECP4638&partnerID=40&md5=0bf5ac9461818dd1e7905ac6c104820b},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Discussion of -estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation-,” Electronic journal of statistics, vol. 10, iss. 1, pp. 67-70, 2016.
  [Bibtex]

  @ARTICLE{Tsybakov201667,
  author={Tsybakov, A.B.},
  title={Discussion of -estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation-},
  journal={Electronic Journal of Statistics},
  year={2016},
  volume={10},
  number={1},
  pages={67-70},
  doi={10.1214/15-EJS1081A},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84975770517&doi=10.1214%2f15-EJS1081A&partnerID=40&md5=1d4429e3c80d5bc2dd5fca7f61acb75f},
  document_type={Article},
  source={Scopus},
  }

• J. Weed, V. Perchet, and P. Rigollet, “Online learning in repeated auctions,” Journal of machine learning research, vol. 49, iss. June, pp. 1562-1583, 2016.
  [Bibtex]

  @ARTICLE{Weed2016OnlineAuctions,
  author={Jonathan Weed and Vianney Perchet and Philippe Rigollet},
  title={Online learning in repeated auctions},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={1562-1583},
  }

• J. Weed, V. Perchet, and P. Rigollet, “Online learning in repeated auctions,” Journal of machine learning research, vol. 49, iss. June, pp. 1562-1583, 2016.
  [Bibtex]

  @ARTICLE{Weed20161562,
  author={Weed, J. and Perchet, V. and Rigollet, P.},
  title={Online learning in repeated auctions},
  journal={Journal of Machine Learning Research},
  year={2016},
  volume={49},
  number={June},
  pages={1562-1583},
  note={cited By 11},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072249507&partnerID=40&md5=e7f4dddef042a16b333db523d08ac7f7},
  document_type={Conference Paper},
  source={Scopus},
  }

2015

• N. Chopin and S. Singh, “On particle gibbs sampling,” Bernoulli, 2015.
  [Bibtex]

  @article{chopin:hal-02391274,
  author={Chopin, Nicolas and Singh, Sumeetpal},
  title={On particle Gibbs sampling},
  journal={Bernoulli},
  year={2015},
  }

• M. Gerber and N. Chopin, “Sequential quasi monte carlo,” Journal of the royal statistical society: series b (statistical methodology), 2015.
  [Bibtex]

  @article{gerber:hal-02391252,
  author={Gerber, Mathieu and Chopin, Nicolas},
  title={Sequential quasi Monte Carlo},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  year={2015},
  }

• M. Cuturi and G. Peyre, “A smoothed dual approach for variational wasserstein problems,” Siam journal on imaging sciences, 2015.
  [Bibtex]

  @article{cuturi:hal-01188954,
  author={Cuturi, Marco and Peyre, Gabriel},
  title={A Smoothed Dual Approach for Variational Wasserstein Problems},
  journal={SIAM Journal on Imaging Sciences},
  year={2015},
  }

• J. Benamou, G. Carlier, M. Cuturi, L. Nenna, and G. Peyre, “Iterative bregman projections for regularized transportation problems,” Siam journal on scientific computing, 2015.
  [Bibtex]

  @article{benamou:hal-01096124,
  author={Benamou, Jean-David and Carlier, Guillaume and Cuturi, Marco and Nenna, Luca and Peyre, Gabriel},
  title={Iterative Bregman Projections for Regularized Transportation Problems},
  journal={SIAM Journal on Scientific Computing},
  year={2015},
  }

• J. Solomon, F. De Goes, G. Peyre, M. Cuturi, A. Butscher, A. Nguyen, T. Du, and L. Guibas, “Convolutional wasserstein distances,” Acm transactions on graphics, 2015.
  [Bibtex]

  @article{solomon:hal-01188953,
  author={Solomon, Justin and De Goes, Fernando and Peyre, Gabriel and Cuturi, Marco and Butscher, Adrian and Nguyen, Andy and Du, Tao and Guibas, Leonidas},
  title={Convolutional wasserstein distances},
  journal={ACM Transactions on Graphics},
  year={2015},
  }

• I. Bulla, C. Chesneau, F. Navarro, and T. Mark, “A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density,” Statistics and probability letters, 2015.
  [Bibtex]

  @article{bulla:hal-00979729,
  author={Bulla, Ingo and Chesneau, Christophe and Navarro, Fabien and Mark, Tanya},
  title={A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density},
  journal={Statistics and Probability Letters},
  year={2015},
  }

• C. Chesneau, F. Comte, G. Mabon, and F. Navarro, “Estimation of convolution in the model with noise,” Journal of nonparametric statistics, 2015.
  [Bibtex]

  @article{chesneau:hal-01003005,
  author={Chesneau, Christophe and Comte, Fabienne and Mabon, Gwennaelle and Navarro, Fabien},
  title={Estimation of convolution in the model with noise},
  journal={Journal of Nonparametric Statistics},
  year={2015},
  }

• L. Gardes and G. Stupfler, “Erratum to: estimating extreme quantiles under random truncation,” Test, 2015.
  [Bibtex]

  @article{gardes:hal-01456099,
  author={Gardes, Laurent and Stupfler, Gilles},
  title={Erratum to: Estimating extreme quantiles under random truncation},
  journal={Test},
  year={2015},
  }

• L. Gardes and G. Stupfler, “Estimating extreme quantiles under random truncation,” Test, 2015.
  [Bibtex]

  @article{gardes:hal-01456111,
  author={Gardes, Laurent and Stupfler, Gilles},
  title={Estimating extreme quantiles under random truncation},
  journal={Test},
  year={2015},
  }

• L. Gardes and G. Stupfler, “Estimating extreme quantiles under random truncation,” Test, 2015.
  [Bibtex]

  @article{gardes:hal-00942134,
  author={Gardes, Laurent and Stupfler, Gilles},
  title={Estimating extreme quantiles under random truncation},
  journal={Test},
  year={2015},
  }

• S. G. Meintanis and G. Stupfler, “Transformations to symmetry based on the probability weighted characteristic function,” Kybernetika, 2015.
  [Bibtex]

  @article{meintanis:hal-01457397,
  author={Meintanis, Simos G. and Stupfler, Gilles},
  title={Transformations to symmetry based on the probability weighted characteristic function},
  journal={Kybernetika},
  year={2015},
  }

• Y. Goegebeur, A. Guillou, and G. Stupfler, “Uniform asymptotic properties of a nonparametric regression estimator of conditional tails,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2015.
  [Bibtex]

  @article{goegebeur:hal-01457385,
  author={Goegebeur, Yuri and Guillou, Armelle and Stupfler, Gilles},
  title={Uniform asymptotic properties of a nonparametric regression estimator of conditional tails},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2015},
  }

• S. Girard and G. Stupfler, “Extreme geometric quantiles in a multivariate regular variation framework,” Extremes, 2015.
  [Bibtex]

  @article{girard:hal-01155112,
  author={Girard, Stephane and Stupfler, Gilles},
  title={Extreme geometric quantiles in a multivariate regular variation framework},
  journal={Extremes},
  year={2015},
  }

• A. Guillou, S. Loisel, and G. Stupfler, “Estimating the parameters of a seasonal markov-modulated poisson process,” Statistical methodology, 2015.
  [Bibtex]

  @article{guillou:hal-01456131,
  author={Guillou, Armelle and Loisel, Stephane and Stupfler, Gilles},
  title={Estimating the parameters of a seasonal Markov-modulated Poisson process},
  journal={Statistical Methodology},
  year={2015},
  }

• B. Cadre and L. Truquet, “Nonparametric regression estimation onto a poisson point process covariate,” Esaim: probability and statistics, 2015.
  [Bibtex]

  @article{cadre:hal-01715649,
  author={Cadre, Benoit and Truquet, Lionel},
  title={Nonparametric regression estimation onto a Poisson point process covariate},
  journal={ESAIM: Probability and Statistics},
  year={2015},
  }

• S. Barthelme and N. Chopin, “The poisson transform for unnormalised statistical models,” Statistics and computing, vol. 25, iss. 4, pp. 767-780, 2015.
  [Bibtex]

  @ARTICLE{Barthelme2015767,
  author={Barthelme, S. and Chopin, N.},
  title={The Poisson transform for unnormalised statistical models},
  journal={Statistics and Computing},
  year={2015},
  volume={25},
  number={4},
  pages={767-780},
  doi={10.1007/s11222-015-9559-4},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84932197246&doi=10.1007%2fs11222-015-9559-4&partnerID=40&md5=b72ea5745b4489be4abe5b6e22a32426},
  document_type={Article},
  source={Scopus},
  }

• P. C. Bellec and A. B. Tsybakov, “Sharp oracle bounds for monotone and convex regression through aggregation,” Journal of machine learning research, vol. 16, iss. None, pp. 1879-1892, 2015.
  [Bibtex]

  @ARTICLE{Bellec2015SharpAggregation,
  author={Pierre C. Bellec and Alexandre B. Tsybakov},
  title={Sharp oracle bounds for monotone and convex regression through aggregation},
  journal={Journal of Machine Learning Research},
  year={2015},
  volume={16},
  number={None},
  pages={1879-1892},
  }

• P. C. Bellec and A. B. Tsybakov, “Sharp oracle bounds for monotone and convex regression through aggregation,” Journal of machine learning research, vol. 16, pp. 1879-1892, 2015.
  [Bibtex]

  @ARTICLE{Bellec20151879,
  author={Bellec, P.C. and Tsybakov, A.B.},
  title={Sharp oracle bounds for monotone and convex regression through aggregation},
  journal={Journal of Machine Learning Research},
  year={2015},
  volume={16},
  pages={1879-1892},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962299803&partnerID=40&md5=0a64d6045c2b171dea31e6170b597172},
  document_type={Article},
  source={Scopus},
  }

• J. -D. Benamou, G. Carlier, M. Cuturi, L. Nenna, and G. PeyÅ•, “Iterative bregman projections for regularized transportation problems,” Siam journal on scientific computing, vol. 37, iss. 2, p. A1111-A1138, 2015.
  [Bibtex]

  @ARTICLE{Benamou2015A1111,
  author={Benamou, J.-D. and Carlier, G. and Cuturi, M. and Nenna, L. and Peyŕ, G.},
  title={Iterative bregman projections for regularized transportation problems},
  journal={SIAM Journal on Scientific Computing},
  year={2015},
  volume={37},
  number={2},
  pages={A1111-A1138},
  doi={10.1137/141000439},
  note={cited By 193},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928966855&doi=10.1137%2f141000439&partnerID=40&md5=38da96d9a1ea0c6054d00bfc7e942a82},
  document_type={Article},
  source={Scopus},
  }

• I. Bulla, C. Chesneau, F. Navarro, and T. Mark, “A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density,” Statistics and probability letters, vol. 105, pp. 6-13, 2015.
  [Bibtex]

  @ARTICLE{Bulla20156,
  author={Bulla, I. and Chesneau, C. and Navarro, F. and Mark, T.},
  title={A note on the adaptive estimation of a bi-dimensional density in the case of knowledge of the copula density},
  journal={Statistics and Probability Letters},
  year={2015},
  volume={105},
  pages={6-13},
  doi={10.1016/j.spl.2015.02.024},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934892307&doi=10.1016%2fj.spl.2015.02.024&partnerID=40&md5=e89a17595eaf9665c081218e759ad00d},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. Gue, and T. Kypraios, “Spectral thresholding quantum tomography for low rank states,” New journal of physics, vol. 17, iss. 11, 2015.
  [Bibtex]

  @ARTICLE{Butucea2015,
  author={Butucea, C. and Gue, M. and Kypraios, T.},
  title={Spectral thresholding quantum tomography for low rank states},
  journal={New Journal of Physics},
  year={2015},
  volume={17},
  number={11},
  doi={10.1088/1367-2630/17/11/113050},
  art_number={113050},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84951299096&doi=10.1088%2f1367-2630%2f17%2f11%2f113050&partnerID=40&md5=2f6b8b83a001fc56d7de4ff26c803e1d},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, J. -F. Delmas, A. Dutfoy, and R. Fischer, “Maximum entropy copula with given diagonal section,” Journal of multivariate analysis, vol. 137, pp. 61-81, 2015.
  [Bibtex]

  @ARTICLE{Butucea201561,
  author={Butucea, C. and Delmas, J.-F. and Dutfoy, A. and Fischer, R.},
  title={Maximum entropy copula with given diagonal section},
  journal={Journal of Multivariate Analysis},
  year={2015},
  volume={137},
  pages={61-81},
  doi={10.1016/j.jmva.2015.01.003},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925635439&doi=10.1016%2fj.jmva.2015.01.003&partnerID=40&md5=809b07798d120accb8dce9b829f61d1d},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, Y. I. Ingster, and I. A. Suslina, “Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix,” Esaim – probability and statistics, vol. 19, pp. 115-134, 2015.
  [Bibtex]

  @ARTICLE{Butucea2015115,
  author={Butucea, C. and Ingster, Y.I. and Suslina, I.A.},
  title={Sharp variable selection of a sparse submatrix in a high-dimensional noisy matrix},
  journal={ESAIM - Probability and Statistics},
  year={2015},
  volume={19},
  pages={115-134},
  doi={10.1051/ps/2014017},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84933532407&doi=10.1051%2fps%2f2014017&partnerID=40&md5=ca6e07028aeeae465e9875fdede9bf37},
  document_type={Article},
  source={Scopus},
  }

• B. Cadre and L. Truquet, “Nonparametric regression estimation onto a poisson point process covariate,” Esaim – probability and statistics, vol. 19, pp. 251-267, 2015.
  [Bibtex]

  @ARTICLE{Cadre2015251,
  author={Cadre, B. and Truquet, L.},
  title={Nonparametric regression estimation onto a Poisson point process covariate},
  journal={ESAIM - Probability and Statistics},
  year={2015},
  volume={19},
  pages={251-267},
  doi={10.1051/ps/2014023},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84943775262&doi=10.1051%2fps%2f2014023&partnerID=40&md5=64d6ea3fed91d3e64113b85f66ef252a},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, F. Comte, G. Mabon, and F. Navarro, “Estimation of convolution in the model with noise,” Journal of nonparametric statistics, vol. 27, iss. 3, pp. 286-315, 2015.
  [Bibtex]

  @ARTICLE{Chesneau2015286,
  author={Chesneau, C. and Comte, F. and Mabon, G. and Navarro, F.},
  title={Estimation of convolution in the model with noise},
  journal={Journal of Nonparametric Statistics},
  year={2015},
  volume={27},
  number={3},
  pages={286-315},
  doi={10.1080/10485252.2015.1041944},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938745821&doi=10.1080%2f10485252.2015.1041944&partnerID=40&md5=ec8280238debd4d78fb2463a3e3019f3},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin and S. S. Singh, “On particle gibbs sampling,” Bernoulli, vol. 21, iss. 3, pp. 1855-1883, 2015.
  [Bibtex]

  @ARTICLE{Chopin20151855,
  author={Chopin, N. and Singh, S.S.},
  title={On particle Gibbs sampling},
  journal={Bernoulli},
  year={2015},
  volume={21},
  number={3},
  pages={1855-1883},
  doi={10.3150/14-BEJ629},
  note={cited By 29},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938651689&doi=10.3150%2f14-BEJ629&partnerID=40&md5=12104efb98533c8d9dc7ec8ee7f9f8eb},
  document_type={Article},
  source={Scopus},
  }

• O. Collier and A. S. Dalalyan, “Curve registration by nonparametric goodness-of-fit testing,” Journal of statistical planning and inference, vol. 162, pp. 20-42, 2015.
  [Bibtex]

  @ARTICLE{Collier201520,
  author={Collier, O. and Dalalyan, A.S.},
  title={Curve registration by nonparametric goodness-of-fit testing},
  journal={Journal of Statistical Planning and Inference},
  year={2015},
  volume={162},
  pages={20-42},
  doi={10.1016/j.jspi.2015.02.004},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925292554&doi=10.1016%2fj.jspi.2015.02.004&partnerID=40&md5=7f1918c8e66e25898721c455473305b9},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, “Discussion of -hypotheses testing by convex optimization-,” Electronic journal of statistics, vol. 9, iss. 2, pp. 1733-1737, 2015.
  [Bibtex]

  @ARTICLE{Dalalyan20151733,
  author={Dalalyan, A.S.},
  title={Discussion of -hypotheses testing by convex optimization-},
  journal={Electronic Journal of Statistics},
  year={2015},
  volume={9},
  number={2},
  pages={1733-1737},
  doi={10.1214/15-EJS994},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939532993&doi=10.1214%2f15-EJS994&partnerID=40&md5=d6243b780fa7505f34726bd0be1ffc12},
  document_type={Article},
  source={Scopus},
  }

• C. Denis and M. Hebiri, “Confidence sets for classification,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9047, pp. 301-312, 2015.
  [Bibtex]

  @ARTICLE{Denis2015301,
  author={Denis, C. and Hebiri, M.},
  title={Confidence sets for classification},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2015},
  volume={9047},
  pages={301-312},
  doi={10.1007/978-3-319-17091-6_25},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949759349&doi=10.1007%2f978-3-319-17091-6_25&partnerID=40&md5=1b7589a0daffa19002863fd051737337},
  document_type={Conference Paper},
  source={Scopus},
  }

• L. Gardes and G. Stupfler, “Erratum: estimating extreme quantiles under random truncation [test, doi 10.1007/s11749-014-0403-5],” Test, vol. 24, iss. 2, p. 228, 2015.
  [Bibtex]

  @ARTICLE{Gardes2015228,
  author={Gardes, L. and Stupfler, G.},
  title={Erratum: Estimating extreme quantiles under random truncation [TEST, DOI 10.1007/s11749-014-0403-5]},
  journal={Test},
  year={2015},
  volume={24},
  number={2},
  pages={228},
  doi={10.1007/s11749-015-0437-3},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929844137&doi=10.1007%2fs11749-015-0437-3&partnerID=40&md5=12c9ab5ae20d2320e17052369c3de2c9},
  document_type={Erratum},
  source={Scopus},
  }

• L. Gardes and G. Stupfler, “Estimating extreme quantiles under random truncation,” Test, vol. 24, iss. 2, pp. 207-227, 2015.
  [Bibtex]

  @ARTICLE{Gardes2015207,
  author={Gardes, L. and Stupfler, G.},
  title={Estimating extreme quantiles under random truncation},
  journal={Test},
  year={2015},
  volume={24},
  number={2},
  pages={207-227},
  doi={10.1007/s11749-014-0403-5},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929843318&doi=10.1007%2fs11749-014-0403-5&partnerID=40&md5=08b7152e6d3c100e1b395df4007757df},
  document_type={Article},
  source={Scopus},
  }

• M. Gerber and N. Chopin, “Sequential quasi monte carlo,” Journal of the royal statistical society. series b: statistical methodology, vol. 77, iss. 3, pp. 509-579, 2015.
  [Bibtex]

  @ARTICLE{Gerber2015509,
  author={Gerber, M. and Chopin, N.},
  title={Sequential quasi Monte Carlo},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2015},
  volume={77},
  number={3},
  pages={509-579},
  doi={10.1111/rssb.12104},
  note={cited By 56},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929149762&doi=10.1111%2frssb.12104&partnerID=40&md5=8bb5aa880c9948f143aad00cc4632aec},
  document_type={Article},
  source={Scopus},
  }

• S. Girard and G. Stupfler, “Extreme geometric quantiles in a multivariate regular variation framework,” Extremes, vol. 18, iss. 4, pp. 629-663, 2015.
  [Bibtex]

  @ARTICLE{Girard2015629,
  author={Girard, S. and Stupfler, G.},
  title={Extreme geometric quantiles in a multivariate regular variation framework},
  journal={Extremes},
  year={2015},
  volume={18},
  number={4},
  pages={629-663},
  doi={10.1007/s10687-015-0226-0},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946494095&doi=10.1007%2fs10687-015-0226-0&partnerID=40&md5=0c93f9a55bd531ea42b4b9e43d879043},
  document_type={Article},
  source={Scopus},
  }

• Y. Goegebeur, A. Guillou, and G. Stupfler, “Uniform asymptotic properties of a nonparametric regression estimator of conditional tails,” Annales de l’institut henri poincare (b) probability and statistics, vol. 51, iss. 3, pp. 1190-1213, 2015.
  [Bibtex]

  @ARTICLE{Goegebeur20151190,
  author={Goegebeur, Y. and Guillou, A. and Stupfler, G.},
  title={Uniform asymptotic properties of a nonparametric regression estimator of conditional tails},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2015},
  volume={51},
  number={3},
  pages={1190-1213},
  doi={10.1214/14-AIHP624},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936972964&doi=10.1214%2f14-AIHP624&partnerID=40&md5=c60048d8cc2d76a7f47efa30175faa57},
  document_type={Article},
  source={Scopus},
  }

• A. Gramfort, G. Peyre, and M. Cuturi, “Fast optimal transport averaging of neuroimaging data,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9123, pp. 261-272, 2015.
  [Bibtex]

  @ARTICLE{Gramfort2015261,
  author={Gramfort, A. and Peyre, G. and Cuturi, M.},
  title={Fast optimal transport averaging of neuroimaging data},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2015},
  volume={9123},
  pages={261-272},
  doi={10.1007/978-3-319-19992-4_20},
  note={cited By 23},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983681749&doi=10.1007%2f978-3-319-19992-4_20&partnerID=40&md5=e5252f667c711c79836e1065d9f104b4},
  document_type={Conference Paper},
  source={Scopus},
  }

• N. Kantas, A. Doucet, S. S. Singh, J. Maciejowski, and N. Chopin, “On particle methods for parameter estimation in state-space models,” Statistical science, vol. 30, iss. 3, pp. 328-351, 2015.
  [Bibtex]

  @ARTICLE{Kantas2015328,
  author={Kantas, N. and Doucet, A. and Singh, S.S. and Maciejowski, J. and Chopin, N.},
  title={On particle methods for parameter estimation in state-space models},
  journal={Statistical Science},
  year={2015},
  volume={30},
  number={3},
  pages={328-351},
  doi={10.1214/14-STS511},
  note={cited By 158},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931459778&doi=10.1214%2f14-STS511&partnerID=40&md5=b80e24a9f5d0a541a907ae1a5db81280},
  document_type={Article},
  source={Scopus},
  }

• O. Klopp and A. B. Tsybakov, “Estimation of matrices with row sparsity,” Problems of information transmission, vol. 51, iss. 4, pp. 335-348, 2015.
  [Bibtex]

  @ARTICLE{Klopp2015335,
  author={Klopp, O. and Tsybakov, A.B.},
  title={Estimation of matrices with row sparsity},
  journal={Problems of Information Transmission},
  year={2015},
  volume={51},
  number={4},
  pages={335-348},
  doi={10.1134/S0032946015040031},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84952939495&doi=10.1134%2fS0032946015040031&partnerID=40&md5=1d44421d8eb21c646a858a5a04b2b876},
  document_type={Article},
  source={Scopus},
  }

• P. Lavergne, S. Maistre, and V. Patilea, “A significance test for covariates in nonparametric regression,” Electronic journal of statistics, vol. 9, pp. 643-678, 2015.
  [Bibtex]

  @ARTICLE{Lavergne2015643,
  author={Lavergne, P. and Maistre, S. and Patilea, V.},
  title={A significance test for covariates in nonparametric regression},
  journal={Electronic Journal of Statistics},
  year={2015},
  volume={9},
  pages={643-678},
  doi={10.1214/15-EJS1005},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926361151&doi=10.1214%2f15-EJS1005&partnerID=40&md5=0488aa122e8b1d24008f753976fa788a},
  document_type={Article},
  source={Scopus},
  }

• T. Le and M. Cuturi, “Adaptive euclidean maps for histograms: generalized aitchison embeddings,” Machine learning, vol. 99, iss. 2, pp. 169-187, 2015.
  [Bibtex]

  @ARTICLE{Le2015169,
  author={Le, T. and Cuturi, M.},
  title={Adaptive Euclidean maps for histograms: generalized Aitchison embeddings},
  journal={Machine Learning},
  year={2015},
  volume={99},
  number={2},
  pages={169-187},
  doi={10.1007/s10994-014-5446-z},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928236147&doi=10.1007%2fs10994-014-5446-z&partnerID=40&md5=f859ff80f8154cca10529ca3885434bc},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Minimax rate of convergence and the performance of empirical risk minimization in phase retrieval,” Electronic journal of probability, vol. 20, pp. 1-27, 2015.
  [Bibtex]

  @ARTICLE{Lecue20151,
  author={Lecue, G. and Mendelson, S.},
  title={Minimax rate of convergence and the performance of empirical risk minimization in phase retrieval},
  journal={Electronic Journal of Probability},
  year={2015},
  volume={20},
  pages={1-27},
  doi={10.1214/EJP.v20-3525},
  art_number={57},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934872978&doi=10.1214%2fEJP.v20-3525&partnerID=40&md5=235be8888f90797ceca8a11d8a5ed93f},
  document_type={Article},
  source={Scopus},
  }

• J. Mary, R. Gaudel, and P. Preux, “Bandits and recommender systems,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 9432, pp. 325-336, 2015.
  [Bibtex]

  @ARTICLE{Mary2015325,
  author={Mary, J. and Gaudel, R. and Preux, P.},
  title={Bandits and recommender systems},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2015},
  volume={9432},
  pages={325-336},
  doi={10.1007/978-3-319-27926-8_29},
  note={cited By 15},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955288517&doi=10.1007%2f978-3-319-27926-8_29&partnerID=40&md5=188a717cb629ffaeff339073bd36f474},
  document_type={Conference Paper},
  source={Scopus},
  }

• S. G. Meintanis and G. Stupfler, “Transformations to symmetry based on the probability weighted characteristic function,” Kybernetika, vol. 51, iss. 4, pp. 571-587, 2015.
  [Bibtex]

  @ARTICLE{Meintanis2015571,
  author={Meintanis, S.G. and Stupfler, G.},
  title={Transformations to symmetry based on the probability weighted characteristic function},
  journal={Kybernetika},
  year={2015},
  volume={51},
  number={4},
  pages={571-587},
  doi={10.14736/kyb-2015-4-0571},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946840385&doi=10.14736%2fkyb-2015-4-0571&partnerID=40&md5=9a582899e841f606535f9c7914dcffd7},
  document_type={Article},
  source={Scopus},
  }

• F. Navarro, C. Chesneau, and J. Fadili, “On adaptive wavelet estimation of a class of weighted densities,” Communications in statistics: simulation and computation, vol. 44, iss. 8, pp. 2137-2150, 2015.
  [Bibtex]

  @ARTICLE{Navarro20152137,
  author={Navarro, F. and Chesneau, C. and Fadili, J.},
  title={On adaptive wavelet estimation of a class of weighted densities},
  journal={Communications in Statistics: Simulation and Computation},
  year={2015},
  volume={44},
  number={8},
  pages={2137-2150},
  doi={10.1080/03610918.2013.851216},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929223605&doi=10.1080%2f03610918.2013.851216&partnerID=40&md5=d121e18798f6311b545a7b0e7138f40e},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, “Exponential weight approachability, applications to calibration and regret minimization,” Dynamic games and applications, vol. 5, iss. 1, pp. 136-153, 2015.
  [Bibtex]

  @ARTICLE{Perchet2015136,
  author={Perchet, V.},
  title={Exponential Weight Approachability, Applications to Calibration and Regret Minimization},
  journal={Dynamic Games and Applications},
  year={2015},
  volume={5},
  number={1},
  pages={136-153},
  doi={10.1007/s13235-014-0119-x},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923364326&doi=10.1007%2fs13235-014-0119-x&partnerID=40&md5=a693e145f0c19ab2369e2b6329cd2360},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet and M. Quincampoix, “On a unified framework for approachability with full or partial monitoring,” Mathematics of operations research, vol. 40, iss. 3, pp. 596-610, 2015.
  [Bibtex]

  @ARTICLE{Perchet2015596,
  author={Perchet, V. and Quincampoix, M.},
  title={On a unified framework for approachability with full or partial monitoring},
  journal={Mathematics of Operations Research},
  year={2015},
  volume={40},
  number={3},
  pages={596-610},
  doi={10.1287/moor.2014.0686},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937845676&doi=10.1287%2fmoor.2014.0686&partnerID=40&md5=500dfd7d11a928a4a2ede3148da303a1},
  document_type={Article},
  source={Scopus},
  }

• J. Solomon, F. De Goes, G. Peyre, M. Cuturi, A. Butscher, A. Nguyen, T. Du, and L. Guibas, “Convolutional wasserstein distances: efficient optimal transportation on geometric domains,” Acm transactions on graphics, vol. 34, iss. 4, 2015.
  [Bibtex]

  @ARTICLE{Solomon2015,
  author={Solomon, J. and De Goes, F. and Peyre, G. and Cuturi, M. and Butscher, A. and Nguyen, A. and Du, T. and Guibas, L.},
  title={Convolutional Wasserstein distances: Efficient optimal transportation on geometric domains},
  journal={ACM Transactions on Graphics},
  year={2015},
  volume={34},
  number={4},
  doi={10.1145/2766963},
  art_number={66},
  note={cited By 176},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947219062&doi=10.1145%2f2766963&partnerID=40&md5=8f017bc192167039a89141dd160f428a},
  document_type={Conference Paper},
  source={Scopus},
  }

2014

• F. Balabdaoui and C. Butucea, “On location mixtures with polya frequency components,” Statistics and probability letters, 2014.
  [Bibtex]

  @article{balabdaoui:hal-01575158,
  author={Balabdaoui, Fadoua and Butucea, Cristina},
  title={On location mixtures with Polya frequency components},
  journal={Statistics and Probability Letters},
  year={2014},
  }

• S. Barthelme and N. Chopin, “Expectation propagation for likelihood-free inference,” Journal of the american statistical association, 2014.
  [Bibtex]

  @article{barthelme:hal-02403286,
  author={Barthelme, Simon and Chopin, Nicolas},
  title={Expectation Propagation for Likelihood-Free Inference},
  journal={Journal of the American Statistical Association},
  year={2014},
  }

• C. Chesneau, M. Kachour, and F. Navarro, “Average derivative estimation from biased data,” Isrn probability and statistics, 2014.
  [Bibtex]

  @article{chesneau:hal-01532972,
  author={Chesneau, Christophe and Kachour, Maher and Navarro, Fabien},
  title={Average Derivative Estimation from Biased Data},
  journal={ISRN Probability and Statistics},
  year={2014},
  }

• C. Chesneau and F. Navarro, “On a plug-in wavelet estimator for convolutions of densities,” Journal of statistical theory and practice, 2014.
  [Bibtex]

  @article{chesneau:hal-00625912,
  author={Chesneau, Christophe and Navarro, Fabien},
  title={On a Plug-In Wavelet Estimator for Convolutions of Densities},
  journal={Journal of Statistical Theory and Practice},
  year={2014},
  }

• C. Chesneau, M. Kachour, and F. Navarro, “On the estimation of density-weighted average derivative by wavelet methods under various dependence structures,” Sankhya a, 2014.
  [Bibtex]

  @article{chesneau:hal-00668544,
  author={Chesneau, Christophe and Kachour, Maher and Navarro, Fabien},
  title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
  journal={Sankhya A},
  year={2014},
  }

• F. Navarro, C. Chesneau, and J. M. Fadili, “On adaptive wavelet estimation of a class of weighted densities,” Communications in statistics – simulation and computation, 2014.
  [Bibtex]

  @article{navarro:hal-00714507,
  author={Navarro, Fabien and Chesneau, Christophe and Fadili, Jalal M.},
  title={On adaptive wavelet estimation of a class of weighted densities},
  journal={Communications in Statistics - Simulation and Computation},
  year={2014},
  }

• V. Patilea and H. Raissi, “Testing second order dynamics for autoregressive processes in presence of time-varying variance,” Journal of the american statistical association, 2014.
  [Bibtex]

  @article{patilea:hal-00771308,
  author={Patilea, Valentin and Raissi, Hamdi},
  title={Testing second order dynamics for autoregressive processes in presence of time-varying variance},
  journal={Journal of the American Statistical Association},
  year={2014},
  }

• L. Gardes and G. Stupfler, “Estimation of the conditional tail index using a smoothed local hill estimator,” Extremes, 2014.
  [Bibtex]

  @article{gardes:hal-00739454,
  author={Gardes, Laurent and Stupfler, Gilles},
  title={Estimation of the conditional tail index using a smoothed local Hill estimator},
  journal={Extremes},
  year={2014},
  }

• G. Stupfler, “On the weak convergence of kernel density estimators in lp spaces,” Journal of nonparametric statistics, 2014.
  [Bibtex]

  @article{stupfler:hal-01474248,
  author={Stupfler, Gilles},
  title={On the weak convergence of kernel density estimators in Lp spaces},
  journal={Journal of Nonparametric Statistics},
  year={2014},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Uniform strong consistency of a frontier estimator using kernel regression on high order moments,” Esaim: probability and statistics, 2014.
  [Bibtex]

  @article{girard:hal-00764425,
  author={Girard, Stephane and Guillou, Armelle and Stupfler, Gilles},
  title={Uniform strong consistency of a frontier estimator using kernel regression on high order moments},
  journal={ESAIM: Probability and Statistics},
  year={2014},
  }

• L. Truquet, “On a family of contrasts for parametric inference in degenerate arch models,” Econometric theory, 2014.
  [Bibtex]

  @article{truquet:hal-01142625,
  author={Truquet, Lionel},
  title={On a family of contrasts for parametric inference in degenerate arch models},
  journal={Econometric Theory},
  year={2014},
  }

• F. Balabdaoui and C. Butucea, “On location mixtures with pã³lya frequency components,” Statistics and probability letters, vol. 95, pp. 144-149, 2014.
  [Bibtex]

  @ARTICLE{Balabdaoui2014144,
  author={Balabdaoui, F. and Butucea, C.},
  title={On location mixtures with Pólya frequency components},
  journal={Statistics and Probability Letters},
  year={2014},
  volume={95},
  pages={144-149},
  doi={10.1016/j.spl.2014.08.013},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954466580&doi=10.1016%2fj.spl.2014.08.013&partnerID=40&md5=208804ee0f257c582aa4fbbb3847e089},
  document_type={Article},
  source={Scopus},
  }

• S. Barthelme and N. Chopin, “Expectation propagation for likelihood-free inference,” Journal of the american statistical association, vol. 109, iss. 505, pp. 315-333, 2014.
  [Bibtex]

  @ARTICLE{Barthelme2014315,
  author={Barthelme, S. and Chopin, N.},
  title={Expectation propagation for likelihood-free inference},
  journal={Journal of the American Statistical Association},
  year={2014},
  volume={109},
  number={505},
  pages={315-333},
  doi={10.1080/01621459.2013.864178},
  note={cited By 36},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901815715&doi=10.1080%2f01621459.2013.864178&partnerID=40&md5=794ec11cc834769340aa9e61eacc7af5},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and P. Vandekerkhove, “Semiparametric mixtures of symmetric distributions,” Scandinavian journal of statistics, vol. 41, iss. 1, pp. 227-239, 2014.
  [Bibtex]

  @ARTICLE{Butucea2014227,
  author={Butucea, C. and Vandekerkhove, P.},
  title={Semiparametric mixtures of symmetric distributions},
  journal={Scandinavian Journal of Statistics},
  year={2014},
  volume={41},
  number={1},
  pages={227-239},
  doi={10.1111/sjos.12015},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894249696&doi=10.1111%2fsjos.12015&partnerID=40&md5=7e7c22c9d2490094101670d6a14dd622},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, F. Navarro, M. Kachour, and F. Navarro, “On the estimation of density-weighted average derivative by wavelet methods under various dependence structures,” Sankhya: the indian journal of statistics, vol. 76 A, iss. PART1, pp. 48-76, 2014.
  [Bibtex]

  @ARTICLE{Chesneau2014OnStructures,
  author={Christophe Chesneau and Fabien Navarro and Maher Kachour and Fabien Navarro},
  title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
  journal={Sankhya: The Indian Journal of Statistics},
  year={2014},
  volume={76 A},
  number={PART1},
  pages={48-76},
  }

• C. Chesneau and F. Navarro, “On a plug-in wavelet estimator for convolutions of densities,” Journal of statistical theory and practice, vol. 8, iss. 4, pp. 653-673, 2014.
  [Bibtex]

  @ARTICLE{Chesneau2014653,
  author={Chesneau, C. and Navarro, F.},
  title={On a plug-in wavelet estimator for convolutions of densities},
  journal={Journal of Statistical Theory and Practice},
  year={2014},
  volume={8},
  number={4},
  pages={653-673},
  doi={10.1080/15598608.2013.824824},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905374359&doi=10.1080%2f15598608.2013.824824&partnerID=40&md5=97bcd50dd74659eb2f493cc73cf3f9f1},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, F. Navarro, M. Kachour, and F. Navarro, “On the estimation of density-weighted average derivative by wavelet methods under various dependence structures,” Sankhya: the indian journal of statistics, vol. 76 A, iss. PART1, pp. 48-76, 2014.
  [Bibtex]

  @ARTICLE{Chesneau201448,
  author={Chesneau, C. and Navarro, F. and Kachour, M. and Navarro, F.},
  title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
  journal={Sankhya: The Indian Journal of Statistics},
  year={2014},
  volume={76 A},
  number={PART1},
  pages={48-76},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893638165&partnerID=40&md5=4d95a9acc3a59bead29e8a438b24024b},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, M. Kachour, and F. Navarro, “On the estimation of density-weighted average derivative by wavelet methods under various dependence structures,” Sankhya a, vol. 76, iss. 1, pp. 48-76, 2014.
  [Bibtex]

  @ARTICLE{Chesneau201448,
  author={Chesneau, C. and Kachour, M. and Navarro, F.},
  title={On the estimation of density-weighted average derivative by wavelet methods under various dependence structures},
  journal={Sankhya A},
  year={2014},
  volume={76},
  number={1},
  pages={48-76},
  doi={10.1007/s13171-013-0032-1},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034601787&doi=10.1007%2fs13171-013-0032-1&partnerID=40&md5=ed2490b1a9dbb9e70d3ac2bb20ab658a},
  document_type={Article},
  source={Scopus},
  }

• M. Cuturi and D. Avis, “Ground metric learning,” Journal of machine learning research, vol. 15, iss. None, pp. 533-564, 2014.
  [Bibtex]

  @ARTICLE{Cuturi2014GroundLearning,
  author={Marco Cuturi and David Avis},
  title={Ground metric learning},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={15},
  number={None},
  pages={533-564},
  }

• M. Cuturi and D. Avis, “Ground metric learning,” Journal of machine learning research, vol. 15, pp. 533-564, 2014.
  [Bibtex]

  @ARTICLE{Cuturi2014533,
  author={Cuturi, M. and Avis, D.},
  title={Ground metric learning},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={15},
  pages={533-564},
  note={cited By 36},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897046256&partnerID=40&md5=29f96657ea043158ea5178c084a61025},
  document_type={Article},
  source={Scopus},
  }

• A. Dalalyan, Y. Ingster, and A. B. Tsybakov, “Statistical inference in compound functional models,” Probability theory and related fields, vol. 158, iss. 3-4, pp. 513-532, 2014.
  [Bibtex]

  @ARTICLE{Dalalyan2014513,
  author={Dalalyan, A. and Ingster, Y. and Tsybakov, A.B.},
  title={Statistical inference in compound functional models},
  journal={Probability Theory and Related Fields},
  year={2014},
  volume={158},
  number={3-4},
  pages={513-532},
  doi={10.1007/s00440-013-0487-y},
  note={cited By 11},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897671636&doi=10.1007%2fs00440-013-0487-y&partnerID=40&md5=5fb8613c1c4e0a1501d0e72297fb4324},
  document_type={Article},
  source={Scopus},
  }

• C. Dhanjal, R. Gaudel, and S. Clemençon, “Efficient eigen-updating for spectral graph clustering,” Neurocomputing, vol. 131, pp. 440-452, 2014.
  [Bibtex]

  @ARTICLE{Dhanjal2014440,
  author={Dhanjal, C. and Gaudel, R. and Clemençon, S.},
  title={Efficient eigen-updating for spectral graph clustering},
  journal={Neurocomputing},
  year={2014},
  volume={131},
  pages={440-452},
  doi={10.1016/j.neucom.2013.11.015},
  note={cited By 30},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894059163&doi=10.1016%2fj.neucom.2013.11.015&partnerID=40&md5=8770de069fc2e3f364112af9fe1cd224},
  document_type={Article},
  source={Scopus},
  }

• J. -P. Florens and A. Simoni, “Regularizing priors for linear inverse problems,” Econometric theory, vol. 32, iss. 1, pp. 71-121, 2014.
  [Bibtex]

  @ARTICLE{Florens201471,
  author={Florens, J.-P. and Simoni, A.},
  title={REGULARIZING PRIORS for LINEAR INVERSE PROBLEMS},
  journal={Econometric Theory},
  year={2014},
  volume={32},
  number={1},
  pages={71-121},
  doi={10.1017/S0266466614000796},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954310933&doi=10.1017%2fS0266466614000796&partnerID=40&md5=bad33d57b1030befce62a15cf245a446},
  document_type={Article},
  source={Scopus},
  }

• L. Gardes and G. Stupfler, “Estimation of the conditional tail index using a smoothed local hill estimator,” Extremes, vol. 17, iss. 1, pp. 45-75, 2014.
  [Bibtex]

  @ARTICLE{Gardes201445,
  author={Gardes, L. and Stupfler, G.},
  title={Estimation of the conditional tail index using a smoothed local Hill estimator},
  journal={Extremes},
  year={2014},
  volume={17},
  number={1},
  pages={45-75},
  doi={10.1007/s10687-013-0174-5},
  note={cited By 21},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896547855&doi=10.1007%2fs10687-013-0174-5&partnerID=40&md5=9d80703f252d8d08a34342b4b47afc99},
  document_type={Article},
  source={Scopus},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Uniform strong consistency of a frontier estimator using kernel regression on high order moments,” Esaim – probability and statistics, vol. 18, pp. 642-666, 2014.
  [Bibtex]

  @ARTICLE{Girard2014642,
  author={Girard, S. and Guillou, A. and Stupfler, G.},
  title={Uniform strong consistency of a frontier estimator using kernel regression on high order moments},
  journal={ESAIM - Probability and Statistics},
  year={2014},
  volume={18},
  pages={642-666},
  doi={10.1051/ps/2013050},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006284944&doi=10.1051%2fps%2f2013050&partnerID=40&md5=34f0105c4593870e8617b25d408bbf3e},
  document_type={Article},
  source={Scopus},
  }

• G. Kerkyacharian, A. B. Tsybakov, V. Temlyakov, D. Picard, and V. Koltchinskii, “Optimal exponential bounds on the accuracy of classification,” Constructive approximation, vol. 39, iss. 3, pp. 421-444, 2014.
  [Bibtex]

  @ARTICLE{Kerkyacharian2014421,
  author={Kerkyacharian, G. and Tsybakov, A.B. and Temlyakov, V. and Picard, D. and Koltchinskii, V.},
  title={Optimal Exponential Bounds on the Accuracy of Classification},
  journal={Constructive Approximation},
  year={2014},
  volume={39},
  number={3},
  pages={421-444},
  doi={10.1007/s00365-014-9229-3},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901038612&doi=10.1007%2fs00365-014-9229-3&partnerID=40&md5=3c0c5d6a91f6da623bd42fa7410c114a},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and P. Rigollet, “Optimal learning with q-aggregation,” Annals of statistics, vol. 42, iss. 1, pp. 211-224, 2014.
  [Bibtex]

  @ARTICLE{Lecue2014211,
  author={Lecue, G. and Rigollet, P.},
  title={Optimal learning with Q-aggregation},
  journal={Annals of Statistics},
  year={2014},
  volume={42},
  number={1},
  pages={211-224},
  doi={10.1214/13-AOS1190},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987956474&doi=10.1214%2f13-AOS1190&partnerID=40&md5=f7bcc624140b4de2879d65ea28bbb34c},
  document_type={Article},
  source={Scopus},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Set-valued approachability and online learning with partial monitoring,” Journal of machine learning research, vol. 15, iss. None, pp. 3247-3295, 2014.
  [Bibtex]

  @ARTICLE{Mannor2014Set-ValuedMonitoring,
  author={Shie Mannor and Vianney Perchet and Gilles Stoltz},
  title={Set-valued approachability and online learning with partial monitoring},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={15},
  number={None},
  pages={3247-3295},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Approachability in unknown games: online learning meets multi-objective optimization,” Journal of machine learning research, vol. 35, iss. None, pp. 339-355, 2014.
  [Bibtex]

  @ARTICLE{Mannor2014ApproachabilityOptimization,
  author={Shie Mannor and Vianney Perchet and Gilles Stoltz},
  title={Approachability in unknown games: Online learning meets multi-objective optimization},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={35},
  number={None},
  pages={339-355},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Set-valued approachability and online learning with partial monitoring,” Journal of machine learning research, vol. 15, pp. 3247-3295, 2014.
  [Bibtex]

  @ARTICLE{Mannor20143247,
  author={Mannor, S. and Perchet, V. and Stoltz, G.},
  title={Set-valued approachability and online learning with partial monitoring},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={15},
  pages={3247-3295},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919775343&partnerID=40&md5=34a595d65f9a6d3b79cd5f208761638b},
  document_type={Article},
  source={Scopus},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “A primal condition for approachability with partial monitoring,” Journal of dynamics and games, vol. 1, iss. 3, pp. 447-469, 2014.
  [Bibtex]

  @ARTICLE{Mannor2014447,
  author={Mannor, S. and Perchet, V. and Stoltz, G.},
  title={A primal condition for approachability with partial monitoring},
  journal={Journal of Dynamics and Games},
  year={2014},
  volume={1},
  number={3},
  pages={447-469},
  doi={10.3934/jdg.2014.1.447},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044284955&doi=10.3934%2fjdg.2014.1.447&partnerID=40&md5=fb7672b4187504c07dfa6051cb7e1011},
  document_type={Article},
  source={Scopus},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Approachability in unknown games: online learning meets multi-objective optimization,” Journal of machine learning research, vol. 35, pp. 339-355, 2014.
  [Bibtex]

  @ARTICLE{Mannor2014339,
  author={Mannor, S. and Perchet, V. and Stoltz, G.},
  title={Approachability in unknown games: Online learning meets multi-objective optimization},
  journal={Journal of Machine Learning Research},
  year={2014},
  volume={35},
  pages={339-355},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939605165&partnerID=40&md5=697c0eaf837d1ca10bd71247730d3ac7},
  document_type={Conference Paper},
  source={Scopus},
  }

• V. Patilea and H. Raissi, “Testing second-order dynamics for autoregressive processes in presence of time-varying variance,” Journal of the american statistical association, vol. 109, iss. 507, pp. 1099-1111, 2014.
  [Bibtex]

  @ARTICLE{Patilea20141099,
  author={Patilea, V. and Raissi, H.},
  title={Testing Second-Order Dynamics for Autoregressive Processes in Presence of Time-Varying Variance},
  journal={Journal of the American Statistical Association},
  year={2014},
  volume={109},
  number={507},
  pages={1099-1111},
  doi={10.1080/01621459.2014.884504},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907507029&doi=10.1080%2f01621459.2014.884504&partnerID=40&md5=94bb76c1e21c6017bc2aa0b86c00045c},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, “A note on robust nash equilibria with uncertainties,” Rairo – operations research, vol. 48, iss. 3, pp. 365-371, 2014.
  [Bibtex]

  @ARTICLE{Perchet2014365,
  author={Perchet, V.},
  title={A note on Robust Nash equilibria with uncertainties},
  journal={RAIRO - Operations Research},
  year={2014},
  volume={48},
  number={3},
  pages={365-371},
  doi={10.1051/ro/2014001},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006307359&doi=10.1051%2fro%2f2014001&partnerID=40&md5=7177894d5ccf355fb03d4752636360c4},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, “Approachability, regret and calibration: implications and equivalences,” Journal of dynamics and games, vol. 1, iss. 2, pp. 181-254, 2014.
  [Bibtex]

  @ARTICLE{Perchet2014181,
  author={Perchet, V.},
  title={Approachability, regret and calibration: Implications and equivalences},
  journal={Journal of Dynamics and Games},
  year={2014},
  volume={1},
  number={2},
  pages={181-254},
  doi={10.3934/jdg.2014.1.181},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938315455&doi=10.3934%2fjdg.2014.1.181&partnerID=40&md5=db1007a72b019e42f1be5544d9df7b3c},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard and J. A. Wellner, “Log-concavity and strong log-concavity:a review,” Statistics surveys, vol. 8, pp. 45-114, 2014.
  [Bibtex]

  @ARTICLE{Saumard201445,
  author={Saumard, A. and Wellner, J.A.},
  title={Log-concavity and strong log-concavity:A review},
  journal={Statistics Surveys},
  year={2014},
  volume={8},
  pages={45-114},
  doi={10.1214/14-SS107},
  note={cited By 49},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922227034&doi=10.1214%2f14-SS107&partnerID=40&md5=4dccf66ae83a36b4d9c61acf0e134952},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “On the weak convergence of kernel density estimators in lp spaces,” Journal of nonparametric statistics, vol. 26, iss. 4, pp. 721-735, 2014.
  [Bibtex]

  @ARTICLE{Stupfler2014721,
  author={Stupfler, G.},
  title={On the weak convergence of kernel density estimators in Lp spaces},
  journal={Journal of Nonparametric Statistics},
  year={2014},
  volume={26},
  number={4},
  pages={721-735},
  doi={10.1080/10485252.2014.949707},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027936306&doi=10.1080%2f10485252.2014.949707&partnerID=40&md5=d18b5a276ff9a7927734adee4b855f32},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “On a family of contrasts for parametric inference in degenerate arch models,” Econometric theory, vol. 30, iss. 6, pp. 1165-1206, 2014.
  [Bibtex]

  @ARTICLE{Truquet20141165,
  author={Truquet, L.},
  title={On a family of contrasts for parametric inference in degenerate ARCH models},
  journal={Econometric Theory},
  year={2014},
  volume={30},
  number={6},
  pages={1165-1206},
  doi={10.1017/S0266466614000139},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911412602&doi=10.1017%2fS0266466614000139&partnerID=40&md5=761b125e18d9217c83b6e6eb9eca6ef0},
  document_type={Review},
  source={Scopus},
  }

2013

• C. Schafer and N. Chopin, “Sequential monte carlo on large binary sampling spaces,” Statistics and computing, 2013.
  [Bibtex]

  @article{schafer:hal-02403302,
  author={Schafer, Christian and Chopin, Nicolas},
  title={Sequential Monte Carlo on large binary sampling spaces},
  journal={Statistics and Computing},
  year={2013},
  }

• N. Chopin, P. Jacob, and O. Papaspiliopoulos, “Smc 2 : an efficient algorithm for sequential analysis of state space models,” Journal of the royal statistical society: series b (statistical methodology), 2013.
  [Bibtex]

  @article{chopin:hal-02403291,
  author={Chopin, Nicolas and Jacob, P. and Papaspiliopoulos, O.},
  title={SMC 2 : an efficient algorithm for sequential analysis of state space models},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  year={2013},
  }

• S. Singh, N. Chopin, and N. Whiteley, “Bayesian learning of noisy markov decision processes,” Acm transactions on modeling and computer simulation, 2013.
  [Bibtex]

  @article{singh:hal-02403299,
  author={Singh, Sumeetpal and Chopin, Nicolas and Whiteley, Nick},
  title={Bayesian Learning of Noisy Markov Decision Processes},
  journal={ACM Transactions on Modeling and Computer Simulation},
  year={2013},
  }

• A. S. Dalalyan, M. Hebiri, K. Meziani, and J. Salmon, “Learning heteroscedastic models by convex programming under group sparsity,” Proceedings of the 30 th international conference on machine learning, 2013.
  [Bibtex]

  @article{dalalyan:hal-00813908,
  author={Dalalyan, Arnak S. and Hebiri, Mohamed and Meziani, Katia and Salmon, Joseph},
  title={Learning Heteroscedastic Models by Convex Programming under Group Sparsity},
  journal={Proceedings of the 30 th International Conference on Machine Learning},
  year={2013},
  }

• S. Gallo, M. Lerasle, and D. Y. Takahashi, “Markov approximation of chains of infinite order in the d-metric,” Markov processes and related fields, 2013.
  [Bibtex]

  @article{gallo:hal-00913858,
  author={Gallo, Sandro and Lerasle, Matthieu and Takahashi, D.Y.},
  title={Markov approximation of chains of infinite order in the d-metric},
  journal={Markov Processes and Related Fields},
  year={2013},
  }

• C. Chesneau, M. Kachour, and F. Navarro, “A note on the adaptive estimation of a quadratic functional from dependent observations,” Istatistik. journal of the turkish statistical association, 2013.
  [Bibtex]

  @article{chesneau:hal-00707015,
  author={Chesneau, Christophe and Kachour, Maher and Navarro, Fabien},
  title={A note on the adaptive estimation of a quadratic functional from dependent observations},
  journal={Istatistik. Journal of the Turkish Statistical Association},
  year={2013},
  }

• C. Chesneau, F. Comte, and F. Navarro, “Fast nonparametric estimation for convolutions of densities,” Canadian journal of statistics, 2013.
  [Bibtex]

  @article{chesneau:hal-00798766,
  author={Chesneau, Christophe and Comte, Fabienne and Navarro, Fabien},
  title={Fast nonparametric estimation for convolutions of densities},
  journal={Canadian Journal of Statistics},
  year={2013},
  }

• F. Navarro, C. Chesneau, J. M. Fadili, and T. Sassi, “Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model,” Electronic journal of statistics, 2013.
  [Bibtex]

  @article{navarro:hal-00661544,
  author={Navarro, Fabien and Chesneau, Christophe and Fadili, Jalal M. and Sassi, Taoufik},
  title={Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model},
  journal={Electronic Journal of Statistics},
  year={2013},
  }

• O. Lopez, V. Patilea, and I. Van Keilegom, “Single index regression models in the presence of censoring depending on the covariates,” Bernoulli, 2013.
  [Bibtex]

  @article{lopez:hal-00644892,
  author={Lopez, Olivier and Patilea, Valentin and Van Keilegom, Ingrid},
  title={Single index regression models in the presence of censoring depending on the covariates},
  journal={Bernoulli},
  year={2013},
  }

• V. Patilea and H. Raissi, “Corrected portmanteau tests for var models with time-varying variance,” Journal of multivariate analysis, 2013.
  [Bibtex]

  @article{patilea:hal-00708343,
  author={Patilea, Valentin and Raissi, Hamdi},
  title={Corrected portmanteau tests for VAR models with time-varying variance},
  journal={Journal of Multivariate Analysis},
  year={2013},
  }

• Y. Keming, B. X. Wang, and V. Patilea, “New estimating equation approaches with application to lifetime data analysis,” Annals of the institute of statistical mathematics, 2013.
  [Bibtex]

  @article{keming:hal-00913627,
  author={Keming, Yu and Wang, Bing Xing and Patilea, Valentin},
  title={New estimating equation approaches with application to lifetime data analysis},
  journal={Annals of the Institute of Statistical Mathematics},
  year={2013},
  }

• G. Stupfler, “A moment estimator for the conditional extreme-value index,” Electronic journal of statistics, 2013.
  [Bibtex]

  @article{stupfler:hal-00846594,
  author={Stupfler, Gilles},
  title={A moment estimator for the conditional extreme-value index},
  journal={Electronic Journal of Statistics},
  year={2013},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Frontier estimation with kernel regression on high order moments,” Journal of multivariate analysis, 2013.
  [Bibtex]

  @article{girard:hal-00499369,
  author={Girard, Stephane and Guillou, Armelle and Stupfler, Gilles},
  title={Frontier estimation with kernel regression on high order moments},
  journal={Journal of Multivariate Analysis},
  year={2013},
  }

• E. Abakumov, A. Beaulieu, F. Blanchard, M. Fradelizi, N. Gozlan, B. Host, T. Jeantheau, M. Kobylanski, G. Lecue, M. Martinez, M. Meyer, M. -H. Mourgues, F. Portal, F. Ribaud, C. Roberto, P. Romon, J. Roth, P. -M. Samson, P. Vandekerkhove, and A. Youssfi, “The logarithmic sobolev constant of the lamplighter,” Journal of mathematical analysis and applications, vol. 399, iss. 2, pp. 576-585, 2013.
  [Bibtex]

  @ARTICLE{Abakumov2013576,
  author={Abakumov, E. and Beaulieu, A. and Blanchard, F. and Fradelizi, M. and Gozlan, N. and Host, B. and Jeantheau, T. and Kobylanski, M. and Lecue, G. and Martinez, M. and Meyer, M. and Mourgues, M.-H. and Portal, F. and Ribaud, F. and Roberto, C. and Romon, P. and Roth, J. and Samson, P.-M. and Vandekerkhove, P. and Youssfi, A.},
  title={The logarithmic Sobolev constant of the lamplighter},
  journal={Journal of Mathematical Analysis and Applications},
  year={2013},
  volume={399},
  number={2},
  pages={576-585},
  doi={10.1016/j.jmaa.2012.10.002},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870056650&doi=10.1016%2fj.jmaa.2012.10.002&partnerID=40&md5=5bb9c860879179624dfd12de64cd7ad8},
  document_type={Article},
  source={Scopus},
  }

• P. Alquier, C. Butucea, M. Hebiri, K. Meziani, and T. Morimae, “Rank-penalized estimation of a quantum system,” Physical review a – atomic, molecular, and optical physics, vol. 88, iss. 3, 2013.
  [Bibtex]

  @ARTICLE{Alquier2013,
  author={Alquier, P. and Butucea, C. and Hebiri, M. and Meziani, K. and Morimae, T.},
  title={Rank-penalized estimation of a quantum system},
  journal={Physical Review A - Atomic, Molecular, and Optical Physics},
  year={2013},
  volume={88},
  number={3},
  doi={10.1103/PhysRevA.88.032113},
  art_number={032113},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884881858&doi=10.1103%2fPhysRevA.88.032113&partnerID=40&md5=844f0740e4481e6d162096bcd06c1e54},
  document_type={Article},
  source={Scopus},
  }

• V. -E. Brunel, “Adaptive estimation of convex polytopes and convex sets from noisy data,” Electronic journal of statistics, vol. 7, iss. 1, pp. 1301-1327, 2013.
  [Bibtex]

  @ARTICLE{Brunel20131301,
  author={Brunel, V.-E.},
  title={Adaptive estimation of convex polytopes and convex sets from noisy data},
  journal={Electronic Journal of Statistics},
  year={2013},
  volume={7},
  number={1},
  pages={1301-1327},
  doi={10.1214/13-EJS804},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884971672&doi=10.1214%2f13-EJS804&partnerID=40&md5=5c419c3f0ad28cffa2bc5c30444779df},
  document_type={Article},
  source={Scopus},
  }

• S. Bubeck, V. Perchet, and P. Rigollet, “Bounded regret in stochastic multi-armed bandits,” Journal of machine learning research, vol. 30, iss. None, pp. 122-134, 2013.
  [Bibtex]

  @ARTICLE{Bubeck2013BoundedBandits,
  author={Sebastien Bubeck and Vianney Perchet and Philippe Rigollet},
  title={Bounded regret in stochastic multi-armed bandits},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={30},
  number={None},
  pages={122-134},
  }

• S. Bubeck, V. Perchet, and P. Rigollet, “Bounded regret in stochastic multi-armed bandits,” Journal of machine learning research, vol. 30, pp. 122-134, 2013.
  [Bibtex]

  @ARTICLE{Bubeck2013122,
  author={Bubeck, S. and Perchet, V. and Rigollet, P.},
  title={Bounded regret in stochastic multi-armed bandits},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={30},
  pages={122-134},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898021400&partnerID=40&md5=01a0da98a53749afc5d21ae5bce8269c},
  document_type={Conference Paper},
  source={Scopus},
  }

• C. Butucea and Y. I. Ingster, “Detection of a sparse submatrix of a high-dimensional noisy matrix,” Bernoulli, vol. 19, iss. 5 B, pp. 2652-2688, 2013.
  [Bibtex]

  @ARTICLE{Butucea20132652,
  author={Butucea, C. and Ingster, Y.I.},
  title={Detection of a sparse submatrix of a high-dimensional noisy matrix},
  journal={Bernoulli},
  year={2013},
  volume={19},
  number={5 B},
  pages={2652-2688},
  doi={10.3150/12-BEJ470},
  note={cited By 39},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891934985&doi=10.3150%2f12-BEJ470&partnerID=40&md5=146bff4f1293f849fb0afc64c5d2a363},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau, F. Comte, and F. Navarro, “Fast nonparametric estimation for convolutions of densities,” Canadian journal of statistics, vol. 41, iss. 4, pp. 617-636, 2013.
  [Bibtex]

  @ARTICLE{Chesneau2013617,
  author={Chesneau, C. and Comte, F. and Navarro, F.},
  title={Fast nonparametric estimation for convolutions of densities},
  journal={Canadian Journal of Statistics},
  year={2013},
  volume={41},
  number={4},
  pages={617-636},
  doi={10.1002/cjs.11191},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887617135&doi=10.1002%2fcjs.11191&partnerID=40&md5=6beef601dda90e8384443917c9aacf35},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, J. Rousseau, and B. Liseo, “Computational aspects of bayesian spectral density estimation,” Journal of computational and graphical statistics, vol. 22, iss. 3, pp. 533-557, 2013.
  [Bibtex]

  @ARTICLE{Chopin2013533,
  author={Chopin, N. and Rousseau, J. and Liseo, B.},
  title={Computational aspects of Bayesian spectral density estimation},
  journal={Journal of Computational and Graphical Statistics},
  year={2013},
  volume={22},
  number={3},
  pages={533-557},
  doi={10.1080/10618600.2013.785293},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890242663&doi=10.1080%2f10618600.2013.785293&partnerID=40&md5=4860201eb7e44b2562c0354e4386cc19},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, P. E. Jacob, and O. Papaspiliopoulos, “Smc2: an efficient algorithm for sequential analysis of state space models,” Journal of the royal statistical society. series b: statistical methodology, vol. 75, iss. 3, pp. 397-426, 2013.
  [Bibtex]

  @ARTICLE{Chopin2013397,
  author={Chopin, N. and Jacob, P.E. and Papaspiliopoulos, O.},
  title={SMC2: An efficient algorithm for sequential analysis of state space models},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2013},
  volume={75},
  number={3},
  pages={397-426},
  doi={10.1111/j.1467-9868.2012.01046.x},
  note={cited By 147},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878260706&doi=10.1111%2fj.1467-9868.2012.01046.x&partnerID=40&md5=90a96648a2eb9b67c3392f7984c22b23},
  document_type={Article},
  source={Scopus},
  }

• O. Collier and A. Dalalyan, “Permutation estimation and minimax matching thresholds,” Journal of machine learning research, vol. 31, iss. None, pp. 10-19, 2013.
  [Bibtex]

  @ARTICLE{Collier2013PermutationThresholds,
  author={Olivier Collier and Arnak Dalalyan},
  title={Permutation estimation and minimax matching thresholds},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={31},
  number={None},
  pages={10-19},
  }

• O. Collier and A. Dalalyan, “Permutation estimation and minimax matching thresholds,” Journal of machine learning research, vol. 31, pp. 10-19, 2013.
  [Bibtex]

  @ARTICLE{Collier201310,
  author={Collier, O. and Dalalyan, A.},
  title={Permutation estimation and minimax matching thresholds},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={31},
  pages={10-19},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954235621&partnerID=40&md5=54d4279fe09db8ac95e2a6ea879eb925},
  document_type={Conference Paper},
  source={Scopus},
  }

• L. Comminges and A. S. Dalalyan, “Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression,” Electronic journal of statistics, vol. 7, iss. 1, pp. 146-190, 2013.
  [Bibtex]

  @ARTICLE{Comminges2013146,
  author={Comminges, L. and Dalalyan, A.S.},
  title={Minimax testing of a composite null hypothesis defined via a quadratic functional in the model of regression},
  journal={Electronic Journal of Statistics},
  year={2013},
  volume={7},
  number={1},
  pages={146-190},
  doi={10.1214/13-EJS766},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873878429&doi=10.1214%2f13-EJS766&partnerID=40&md5=0e258063ccfa4d6f719dd9b0fe190e6d},
  document_type={Article},
  source={Scopus},
  }

• S. Gallo, M. Lerasle, and D. Y. Takahashi, “Markov approximation of chains of infinite order in the dì„-metric,” Markov processes and related fields, vol. 19, iss. 1, pp. 51-82, 2013.
  [Bibtex]

  @ARTICLE{Gallo2013MarkovDÌ„-Metric,
  author={S. Gallo and M. Lerasle and D. Y. Takahashi},
  title={Markov approximation of chains of infinite order in the d̄-metric},
  journal={Markov Processes and Related Fields},
  year={2013},
  volume={19},
  number={1},
  pages={51-82},
  }

• S. Gallo, M. Lerasle, and D. Y. Takahashi, “Markov approximation of chains of infinite order in the dì„-metric,” Markov processes and related fields, vol. 19, iss. 1, pp. 51-82, 2013.
  [Bibtex]

  @ARTICLE{Gallo201351,
  author={Gallo, S. and Lerasle, M. and Takahashi, D.Y.},
  title={Markov approximation of chains of infinite order in the d̄-metric},
  journal={Markov Processes and Related Fields},
  year={2013},
  volume={19},
  number={1},
  pages={51-82},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878290693&partnerID=40&md5=84b6d9ac38c1ae319ddc6074b0d0abd6},
  document_type={Article},
  source={Scopus},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Frontier estimation with kernel regression on high order moments,” Journal of multivariate analysis, vol. 116, pp. 172-189, 2013.
  [Bibtex]

  @ARTICLE{Girard2013172,
  author={Girard, S. and Guillou, A. and Stupfler, G.},
  title={Frontier estimation with kernel regression on high order moments},
  journal={Journal of Multivariate Analysis},
  year={2013},
  volume={116},
  pages={172-189},
  doi={10.1016/j.jmva.2012.12.001},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872382104&doi=10.1016%2fj.jmva.2012.12.001&partnerID=40&md5=be34065f8681f93c53c6328cf9c0172a},
  document_type={Article},
  source={Scopus},
  }

• M. Hebiri and J. Lederer, “How correlations influence lasso prediction,” Ieee transactions on information theory, vol. 59, iss. 3, pp. 1846-1854, 2013.
  [Bibtex]

  @ARTICLE{Hebiri20131846,
  author={Hebiri, M. and Lederer, J.},
  title={How correlations influence lasso prediction},
  journal={IEEE Transactions on Information Theory},
  year={2013},
  volume={59},
  number={3},
  pages={1846-1854},
  doi={10.1109/TIT.2012.2227680},
  art_number={6355687},
  note={cited By 38},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873930459&doi=10.1109%2fTIT.2012.2227680&partnerID=40&md5=684852f016ec1f92e3ca1bb1a1035d54},
  document_type={Article},
  source={Scopus},
  }

• P. Lavergne and V. Patilea, “Smooth minimum distance estimation and testing with conditional estimating equations: uniform in bandwidth theory,” Journal of econometrics, vol. 177, iss. 1, pp. 47-59, 2013.
  [Bibtex]

  @ARTICLE{Lavergne201347,
  author={Lavergne, P. and Patilea, V.},
  title={Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory},
  journal={Journal of Econometrics},
  year={2013},
  volume={177},
  number={1},
  pages={47-59},
  doi={10.1016/j.jeconom.2013.05.006},
  note={cited By 19},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883457873&doi=10.1016%2fj.jeconom.2013.05.006&partnerID=40&md5=3c960af4a2a8ce7b9e38bd045a0221e5},
  document_type={Article},
  source={Scopus},
  }

• T. Le and M. Cuturi, “Generalized aitchison embeddings for histograms,” Journal of machine learning research, vol. 29, pp. 293-308, 2013.
  [Bibtex]

  @ARTICLE{Le2013293,
  author={Le, T. and Cuturi, M.},
  title={Generalized aitchison embeddings for histograms},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={29},
  pages={293-308},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908488402&partnerID=40&md5=2be91ffbe23fff7c709f70529910b978},
  document_type={Conference Paper},
  source={Scopus},
  }

• G. Lecue, “Empirical risk minimization is optimal for the convex aggregation problem,” Bernoulli, vol. 19, iss. 5 B, pp. 2153-2166, 2013.
  [Bibtex]

  @ARTICLE{Lecue20132153,
  author={Lecue, G.},
  title={Empirical risk minimization is optimal for the convex aggregation problem},
  journal={Bernoulli},
  year={2013},
  volume={19},
  number={5 B},
  pages={2153-2166},
  doi={10.3150/12-BEJ447},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891915890&doi=10.3150%2f12-BEJ447&partnerID=40&md5=0df2e4ae854dd3d80daf4f3f8a3be9a2},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, “Comment to generic chaining and the â„“1-penalty by sara van de geer,” Journal of statistical planning and inference, vol. 143, iss. 6, pp. 1022-1025, 2013.
  [Bibtex]

  @ARTICLE{Lecue20131022,
  author={Lecue, G.},
  title={Comment to Generic chaining and the â„“1-penalty by Sara van de Geer},
  journal={Journal of Statistical Planning and Inference},
  year={2013},
  volume={143},
  number={6},
  pages={1022-1025},
  doi={10.1016/j.jspi.2012.12.006},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875375342&doi=10.1016%2fj.jspi.2012.12.006&partnerID=40&md5=cdf7cf83cfa22634351a842ed7f5bd60},
  document_type={Note},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “On the optimality of the aggregate with exponential weights for low temperatures,” Bernoulli, vol. 19, iss. 2, pp. 646-675, 2013.
  [Bibtex]

  @ARTICLE{Lecue2013646,
  author={Lecue, G. and Mendelson, S.},
  title={On the optimality of the aggregate with exponential weights for low temperatures},
  journal={Bernoulli},
  year={2013},
  volume={19},
  number={2},
  pages={646-675},
  doi={10.3150/11-BEJ408},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884125671&doi=10.3150%2f11-BEJ408&partnerID=40&md5=cba62f142e66cd724828bfa4f19dc8f2},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “On the optimality of the empirical risk minimization procedure for the convex aggregation problem,” Annales de l’institut henri poincare (b) probability and statistics, vol. 49, iss. 1, pp. 288-306, 2013.
  [Bibtex]

  @ARTICLE{Lecue2013288,
  author={Lecue, G. and Mendelson, S.},
  title={On the optimality of the empirical risk minimization procedure for the convex aggregation problem},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2013},
  volume={49},
  number={1},
  pages={288-306},
  doi={10.1214/11-AIHP458},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879247711&doi=10.1214%2f11-AIHP458&partnerID=40&md5=0f7a6c37f525131578d647456c463093},
  document_type={Article},
  source={Scopus},
  }

• O. Lopez, V. Patilea, and I. Van Keilegom, “Single index regression models in the presence of censoring depending on the covariates,” Bernoulli, vol. 19, iss. 3, pp. 721-747, 2013.
  [Bibtex]

  @ARTICLE{Lopez2013721,
  author={Lopez, O. and Patilea, V. and Van Keilegom, I.},
  title={Single index regression models in the presence of censoring depending on the covariates},
  journal={Bernoulli},
  year={2013},
  volume={19},
  number={3},
  pages={721-747},
  doi={10.3150/12-BEJ464},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883881843&doi=10.3150%2f12-BEJ464&partnerID=40&md5=715a33851bab670c459525d90ba16b68},
  document_type={Article},
  source={Scopus},
  }

• S. Mannor and V. Perchet, “Approachability, fast and slow,” Journal of machine learning research, vol. 30, pp. 474-477, 2013.
  [Bibtex]

  @ARTICLE{Mannor2013474,
  author={Mannor, S. and Perchet, V.},
  title={Approachability, fast and slow},
  journal={Journal of Machine Learning Research},
  year={2013},
  volume={30},
  pages={474-477},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898038007&partnerID=40&md5=de0056487be30d7beca6f41468c08954},
  document_type={Conference Paper},
  source={Scopus},
  }

• F. Navarro, C. Chesneau, J. Fadili, and T. Sassi, “Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model,” Electronic journal of statistics, vol. 7, iss. 1, pp. 428-453, 2013.
  [Bibtex]

  @ARTICLE{Navarro2013428,
  author={Navarro, F. and Chesneau, C. and Fadili, J. and Sassi, T.},
  title={Block thresholding for wavelet-based estimation of function derivatives from a heteroscedastic multichannel convolution model},
  journal={Electronic Journal of Statistics},
  year={2013},
  volume={7},
  number={1},
  pages={428-453},
  doi={10.1214/13-EJS776},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875387696&doi=10.1214%2f13-EJS776&partnerID=40&md5=3529513890bc981c7b6fb85a80d081a7},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea and H. Raissi, “Corrected portmanteau tests for var models with time-varying variance,” Journal of multivariate analysis, vol. 116, pp. 190-207, 2013.
  [Bibtex]

  @ARTICLE{Patilea2013190,
  author={Patilea, V. and Raissi, H.},
  title={Corrected portmanteau tests for VAR models with time-varying variance},
  journal={Journal of Multivariate Analysis},
  year={2013},
  volume={116},
  pages={190-207},
  doi={10.1016/j.jmva.2012.12.004},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872417584&doi=10.1016%2fj.jmva.2012.12.004&partnerID=40&md5=bd38e1a9538a5dbe28cc926bbb91b454},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet and P. Rigollet, “The multi-armed bandit problem with covariates,” Annals of statistics, vol. 41, iss. 2, pp. 693-721, 2013.
  [Bibtex]

  @ARTICLE{Perchet2013693,
  author={Perchet, V. and Rigollet, P.},
  title={The multi-armed bandit problem with covariates},
  journal={Annals of Statistics},
  year={2013},
  volume={41},
  number={2},
  pages={693-721},
  doi={10.1214/13-AOS1101},
  note={cited By 38},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879129093&doi=10.1214%2f13-AOS1101&partnerID=40&md5=becf8fb07242e75e684afde8e2b1302a},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard, “Optimal model selection in heteroscedastic regression using piecewise polynomial functions,” Electronic journal of statistics, vol. 7, iss. 1, pp. 1184-1223, 2013.
  [Bibtex]

  @ARTICLE{Saumard20131184,
  author={Saumard, A.},
  title={Optimal model selection in heteroscedastic regression using piecewise polynomial functions},
  journal={Electronic Journal of Statistics},
  year={2013},
  volume={7},
  number={1},
  pages={1184-1223},
  doi={10.1214/13-EJS803},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884956956&doi=10.1214%2f13-EJS803&partnerID=40&md5=ec4decce22aa09b26d6b45134b859d32},
  document_type={Article},
  source={Scopus},
  }

• C. Schafer and N. Chopin, “Sequential monte carlo on large binary sampling spaces,” Statistics and computing, vol. 23, iss. 2, pp. 163-184, 2013.
  [Bibtex]

  @ARTICLE{Schafer2013163,
  author={Schafer, C. and Chopin, N.},
  title={Sequential Monte Carlo on large binary sampling spaces},
  journal={Statistics and Computing},
  year={2013},
  volume={23},
  number={2},
  pages={163-184},
  doi={10.1007/s11222-011-9299-z},
  note={cited By 46},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872617354&doi=10.1007%2fs11222-011-9299-z&partnerID=40&md5=14d59feba0b7e1061992397a412bb6c7},
  document_type={Review},
  source={Scopus},
  }

• S. S. Singh, N. Chopin, and N. Whiteley, “Bayesian learning of noisy markov decision processes,” Acm transactions on modeling and computer simulation, vol. 23, iss. 1, 2013.
  [Bibtex]

  @ARTICLE{Singh2013,
  author={Singh, S.S. and Chopin, N. and Whiteley, N.},
  title={Bayesian learning of noisy markov decision processes},
  journal={ACM Transactions on Modeling and Computer Simulation},
  year={2013},
  volume={23},
  number={1},
  doi={10.1145/2414416.2414420},
  art_number={4},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873697423&doi=10.1145%2f2414416.2414420&partnerID=40&md5=963d9ac0971a83a74919a0df94ea096b},
  document_type={Article},
  source={Scopus},
  }

• G. Stupfler, “A moment estimator for the conditional extreme-value index,” Electronic journal of statistics, vol. 7, iss. 1, pp. 2298-2343, 2013.
  [Bibtex]

  @ARTICLE{Stupfler20132298,
  author={Stupfler, G.},
  title={A moment estimator for the conditional extreme-value index},
  journal={Electronic Journal of Statistics},
  year={2013},
  volume={7},
  number={1},
  pages={2298-2343},
  doi={10.1214/13-EJS846},
  note={cited By 24},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884956587&doi=10.1214%2f13-EJS846&partnerID=40&md5=83d75e6bb8bcca1b1df6fc4c746fb6bf},
  document_type={Article},
  source={Scopus},
  }

• K. Yu, B. X. Wang, and V. Patilea, “New estimating equation approaches with application in lifetime data analysis,” Annals of the institute of statistical mathematics, vol. 65, iss. 3, pp. 589-615, 2013.
  [Bibtex]

  @ARTICLE{Yu2013589,
  author={Yu, K. and Wang, B.X. and Patilea, V.},
  title={New estimating equation approaches with application in lifetime data analysis},
  journal={Annals of the Institute of Statistical Mathematics},
  year={2013},
  volume={65},
  number={3},
  pages={589-615},
  doi={10.1007/s10463-012-0385-6},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878535734&doi=10.1007%2fs10463-012-0385-6&partnerID=40&md5=72cb138b8d94a7f2dac177430af0648f},
  document_type={Article},
  source={Scopus},
  }

2012

• J. Rousseau, N. Chopin, and B. Liseo, “Bayesian nonparametric estimation of the spectral density of a long or intermediate memory gaussian process,” Annals of statistics, 2012.
  [Bibtex]

  @article{rousseau:hal-00504969,
  author={Rousseau, Judith and Chopin, Nicolas and Liseo, Brunero},
  title={Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process},
  journal={Annals of Statistics},
  year={2012},
  }

• M. Lerasle, “Optimal model selection for stationary data under various mixing conditions,” Annals of statistics, 2012.
  [Bibtex]

  @article{lerasle:hal-00430463,
  author={Lerasle, Matthieu},
  title={Optimal model selection for stationary data under various mixing conditions},
  journal={Annals of Statistics},
  year={2012},
  }

• M. Lerasle, “Adaptive non-asymptotic confidence balls in density estimation,” Esaim: probability and statistics, 2012.
  [Bibtex]

  @article{lerasle:hal-00913641,
  author={Lerasle, Matthieu},
  title={Adaptive non-asymptotic confidence balls in density estimation},
  journal={ESAIM: Probability and Statistics},
  year={2012},
  }

• M. Lerasle, “Optimal model selection in density estimation,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2012.
  [Bibtex]

  @article{lerasle:hal-00422655,
  author={Lerasle, Matthieu},
  title={Optimal model selection in density estimation},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2012},
  }

• L. Hervé, J. Ledoux, and V. Patilea, “A uniform berry-esseen theorem on m-estimators for geometrically ergodic markov chains,” Bernoulli, 2012.
  [Bibtex]

  @article{herve:hal-00563638,
  author={Hervé, Loic and Ledoux, James and Patilea, Valentin},
  title={A uniform Berry-Esseen theorem on M-estimators for geometrically ergodic Markov chains},
  journal={Bernoulli},
  year={2012},
  }

• H. Shiraishi, H. Ogata, T. Amano, V. Patilea, D. Veredas, and M. Taniguchi, “Optimal portfolios with end-of-period target,” Advances in decision sciences, 2012.
  [Bibtex]

  @article{shiraishi:hal-00776439,
  author={Shiraishi, Hiroshi and Ogata, Hiroaki and Amano, Tomoyuki and Patilea, Valentin and Veredas, David and Taniguchi, Masanobu},
  title={Optimal portfolios with end-of-period target},
  journal={Advances in Decision Sciences},
  year={2012},
  }

• A. Saumard, “Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression,” Electronic journal of statistics, 2012.
  [Bibtex]

  @article{saumard:hal-00512304,
  author={Saumard, Adrien},
  title={Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression},
  journal={Electronic Journal of Statistics},
  year={2012},
  }

• J. Florens and A. Simoni, “Nonparametric estimation of an instrumental regression: a quasi-bayesian approach based on regularized posterior,” Journal of econometrics, 2012.
  [Bibtex]

  @article{florens:hal-03089888,
  author={Florens, Jean-Pierre and Simoni, Anna},
  title={Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior},
  journal={Journal of Econometrics},
  year={2012},
  }

• J. Florens and A. Simoni, “Nonparametric estimation of an instrumental regression: a quasi-bayesian approach based on regularized posterior,” Econometrics, 2012.
  [Bibtex]

  @article{florens:hal-00922877,
  author={Florens, Jean-Pierre and Simoni, Anna},
  title={Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior},
  journal={Econometrics},
  year={2012},
  }

• J. Florens and A. Simoni, “Regularized posteriors in linear ill-posed inverse problems,” Scandinavian journal of statistics, 2012.
  [Bibtex]

  @article{florens:hal-00922879,
  author={Florens, Jean-Pierre and Simoni, Anna},
  title={Regularized Posteriors in Linear Ill-Posed Inverse Problems},
  journal={Scandinavian Journal of Statistics},
  year={2012},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Estimating an endpoint with high order moments,” Test, 2012.
  [Bibtex]

  @article{girard:inria-00596979,
  author={Girard, Stephane and Guillou, Armelle and Stupfler, Gilles},
  title={Estimating an endpoint with high order moments},
  journal={Test},
  year={2012},
  }

• L. Truquet and J. Yao, “On the quasi-likelihood estimation for random coefficient autoregressions,” Statistics, 2012.
  [Bibtex]

  @article{truquet:hal-00704611,
  author={Truquet, Lionel and Yao, Jian-Feng},
  title={On the quasi-likelihood estimation for random coefficient autoregressions},
  journal={Statistics},
  year={2012},
  }

• A. S. Dalalyan and A. Tsybakov, “Mirror averaging with sparsity priors,” Bernoulli, 2012.
  [Bibtex]

  @article{dalalyan:hal-00461580,
  author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
  title={Mirror averaging with sparsity priors},
  journal={Bernoulli},
  year={2012},
  }

• A. S. Dalalyan and A. Tsybakov, “Sparse regression learning by aggregation and langevin monte-carlo,” Journal of computer and system sciences, 2012.
  [Bibtex]

  @article{dalalyan:hal-00362471,
  author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
  title={Sparse Regression Learning by Aggregation and Langevin Monte-Carlo},
  journal={Journal of Computer and System Sciences},
  year={2012},
  }

• J. Bigot, J. Loubes, and M. Vimond, “Semiparametric estimation of shifts on compact lie groups for image registration,” Probability theory and related fields, 2012.
  [Bibtex]

  @article{bigot:hal-00777107,
  author={Bigot, Jeremie and Loubes, Jean-Michel and Vimond, Myriam},
  title={Semiparametric estimation of shifts on compact Lie groups for image registration},
  journal={Probability Theory and Related Fields},
  year={2012},
  }

• P. Alquier and M. Hebiri, “Transductive versions of the lasso and the dantzig selector,” Journal of statistical planning and inference, vol. 142, iss. 9, pp. 2485-2500, 2012.
  [Bibtex]

  @ARTICLE{Alquier20122485,
  author={Alquier, P. and Hebiri, M.},
  title={Transductive versions of the LASSO and the Dantzig Selector},
  journal={Journal of Statistical Planning and Inference},
  year={2012},
  volume={142},
  number={9},
  pages={2485-2500},
  doi={10.1016/j.jspi.2012.03.020},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860883493&doi=10.1016%2fj.jspi.2012.03.020&partnerID=40&md5=9d12bbbfb09a8623ac121e261fa73c95},
  document_type={Article},
  source={Scopus},
  }

• J. Bigot, J. -M. Loubes, and M. Vimond, “Semiparametric estimation of shifts on compact lie groups for image registration,” Probability theory and related fields, vol. 152, iss. 3-4, pp. 425-473, 2012.
  [Bibtex]

  @ARTICLE{Bigot2012425,
  author={Bigot, J. and Loubes, J.-M. and Vimond, M.},
  title={Semiparametric estimation of shifts on compact Lie groups for image registration},
  journal={Probability Theory and Related Fields},
  year={2012},
  volume={152},
  number={3-4},
  pages={425-473},
  doi={10.1007/s00440-010-0327-2},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858160199&doi=10.1007%2fs00440-010-0327-2&partnerID=40&md5=e37d8c88ac98fdca104c952959758832},
  document_type={Article},
  source={Scopus},
  }

• O. Catoni, “Challenging the empirical mean and empirical variance: a deviation study,” Annales de l’institut henri poincare (b) probability and statistics, vol. 48, iss. 4, pp. 1148-1185, 2012.
  [Bibtex]

  @ARTICLE{Catoni20121148,
  author={Catoni, O.},
  title={Challenging the empirical mean and empirical variance: A deviation study},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2012},
  volume={48},
  number={4},
  pages={1148-1185},
  doi={10.1214/11-AIHP454},
  note={cited By 87},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879223772&doi=10.1214%2f11-AIHP454&partnerID=40&md5=54fe8665e9ab252a98a7c3ef2384eecd},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, T. Lelievre, and G. Stoltz, “Free energy methods for bayesian inference: efficient exploration of univariate gaussian mixture posteriors,” Statistics and computing, vol. 22, iss. 4, pp. 897-916, 2012.
  [Bibtex]

  @ARTICLE{Chopin2012897,
  author={Chopin, N. and Lelievre, T. and Stoltz, G.},
  title={Free energy methods for Bayesian inference: Efficient exploration of univariate Gaussian mixture posteriors},
  journal={Statistics and Computing},
  year={2012},
  volume={22},
  number={4},
  pages={897-916},
  doi={10.1007/s11222-011-9257-9},
  note={cited By 24},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859780059&doi=10.1007%2fs11222-011-9257-9&partnerID=40&md5=23296dc5fb10324acaa79c4f920297d8},
  document_type={Article},
  source={Scopus},
  }

• L. Comminges and A. S. Dalalyan, “Tight conditions for consistency of variable selection in the context of high dimensionality,” Annals of statistics, vol. 40, iss. 5, pp. 2667-2696, 2012.
  [Bibtex]

  @ARTICLE{Comminges20122667,
  author={Comminges, L. and Dalalyan, A.S.},
  title={Tight conditions for consistency of variable selection in the context of high dimensionality},
  journal={Annals of Statistics},
  year={2012},
  volume={40},
  number={5},
  pages={2667-2696},
  doi={10.1214/12-AOS1046},
  note={cited By 27},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873372742&doi=10.1214%2f12-AOS1046&partnerID=40&md5=5f2d89d14de23a8cfbf60c9c70e0a9a6},
  document_type={Article},
  source={Scopus},
  }

• J. Courchay, A. S. Dalalyan, R. Keriven, and P. Sturm, “On camera calibration with linear programming and loop constraint linearization,” International journal of computer vision, vol. 97, iss. 1, pp. 71-90, 2012.
  [Bibtex]

  @ARTICLE{Courchay201271,
  author={Courchay, J. and Dalalyan, A.S. and Keriven, R. and Sturm, P.},
  title={On camera calibration with linear programming and loop constraint linearization},
  journal={International Journal of Computer Vision},
  year={2012},
  volume={97},
  number={1},
  pages={71-90},
  doi={10.1007/s11263-011-0483-6},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859264313&doi=10.1007%2fs11263-011-0483-6&partnerID=40&md5=273c2ffb021daf5d4b5c2fc9d1bde2cd},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and A. B. Tsybakov, “Sparse regression learning by aggregation and langevin monte-carlo,” Journal of computer and system sciences, vol. 78, iss. 5, pp. 1423-1443, 2012.
  [Bibtex]

  @ARTICLE{Dalalyan20121423,
  author={Dalalyan, A.S. and Tsybakov, A.B.},
  title={Sparse regression learning by aggregation and Langevin Monte-Carlo},
  journal={Journal of Computer and System Sciences},
  year={2012},
  volume={78},
  number={5},
  pages={1423-1443},
  doi={10.1016/j.jcss.2011.12.023},
  note={cited By 43},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861604276&doi=10.1016%2fj.jcss.2011.12.023&partnerID=40&md5=62c67cdb5af94da9d8a4add7592ea9c6},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. S. Dalalyan, “Socp based variance free dantzig selector with application to robust estimation,” Comptes rendus mathematique, vol. 350, iss. 15-16, pp. 785-788, 2012.
  [Bibtex]

  @ARTICLE{Dalalyan2012785,
  author={Dalalyan, A.S.},
  title={SOCP based variance free Dantzig Selector with application to robust estimation},
  journal={Comptes Rendus Mathematique},
  year={2012},
  volume={350},
  number={15-16},
  pages={785-788},
  doi={10.1016/j.crma.2012.09.016},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867329277&doi=10.1016%2fj.crma.2012.09.016&partnerID=40&md5=78ab3230a27ba094a2a44c51b6e7ee42},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and A. B. Tsybakov, “Mirror averaging with sparsity priors,” Bernoulli, vol. 18, iss. 3, pp. 914-944, 2012.
  [Bibtex]

  @ARTICLE{Dalalyan2012914,
  author={Dalalyan, A.S. and Tsybakov, A.B.},
  title={Mirror averaging with sparsity priors},
  journal={Bernoulli},
  year={2012},
  volume={18},
  number={3},
  pages={914-944},
  doi={10.3150/11-BEJ361},
  note={cited By 21},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871602377&doi=10.3150%2f11-BEJ361&partnerID=40&md5=6ce893aae1566e6d04ad0672cff36b2c},
  document_type={Article},
  source={Scopus},
  }

• A. Dalalyan and R. Keriven, “Robust estimation for an inverse problem arising in multiview geometry,” Journal of mathematical imaging and vision, vol. 43, iss. 1, pp. 10-23, 2012.
  [Bibtex]

  @ARTICLE{Dalalyan201210,
  author={Dalalyan, A. and Keriven, R.},
  title={Robust estimation for an inverse problem arising in multiview geometry},
  journal={Journal of Mathematical Imaging and Vision},
  year={2012},
  volume={43},
  number={1},
  pages={10-23},
  doi={10.1007/s10851-011-0281-3},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859420852&doi=10.1007%2fs10851-011-0281-3&partnerID=40&md5=f5b4c2a4567dc78c9a0656f1235145b7},
  document_type={Review},
  source={Scopus},
  }

• A. S. Dalalyan and J. Salmon, “Sharp oracle inequalities for aggregation of affine estimators,” Annals of statistics, vol. 40, iss. 4, pp. 2327-2355, 2012.
  [Bibtex]

  @ARTICLE{Dalalyan20122327,
  author={Dalalyan, A.S. and Salmon, J.},
  title={Sharp oracle inequalities for aggregation of affine estimators},
  journal={Annals of Statistics},
  year={2012},
  volume={40},
  number={4},
  pages={2327-2355},
  doi={10.1214/12-AOS1038},
  note={cited By 26},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884954887&doi=10.1214%2f12-AOS1038&partnerID=40&md5=4c1292bdc2a917a672f782ebb18cde6d},
  document_type={Article},
  source={Scopus},
  }

• J. -P. Florens and A. Simoni, “Nonparametric estimation of an instrumental regression: a quasi-bayesian approach based on regularized posterior,” Journal of econometrics, vol. 170, iss. 2, pp. 458-475, 2012.
  [Bibtex]

  @ARTICLE{Florens2012458,
  author={Florens, J.-P. and Simoni, A.},
  title={Nonparametric estimation of an instrumental regression: A quasi-Bayesian approach based on regularized posterior},
  journal={Journal of Econometrics},
  year={2012},
  volume={170},
  number={2},
  pages={458-475},
  doi={10.1016/j.jeconom.2012.05.016},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865320541&doi=10.1016%2fj.jeconom.2012.05.016&partnerID=40&md5=be554d6c9bf3c414eb7c49d7605f78c9},
  document_type={Conference Paper},
  source={Scopus},
  }

• J. -P. Florens and A. Simoni, “Regularized posteriors in linear ill-posed inverse problems,” Scandinavian journal of statistics, vol. 39, iss. 2, pp. 214-235, 2012.
  [Bibtex]

  @ARTICLE{Florens2012214,
  author={Florens, J.-P. and Simoni, A.},
  title={Regularized Posteriors in Linear Ill-Posed Inverse Problems},
  journal={Scandinavian Journal of Statistics},
  year={2012},
  volume={39},
  number={2},
  pages={214-235},
  doi={10.1111/j.1467-9469.2011.00784.x},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860995589&doi=10.1111%2fj.1467-9469.2011.00784.x&partnerID=40&md5=6e5bdb6e3ff5276a507cdb8ef5f35589},
  document_type={Article},
  source={Scopus},
  }

• M. Fromont, B. Laurent, M. Lerasle, and P. Reynaud-Bouret, “Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems,” Journal of machine learning research, vol. 23, iss. None, p. -, 2012.
  [Bibtex]

  @ARTICLE{Fromont2012KernelsProblems,
  author={Magalie Fromont and Beatrice Laurent and Matthieu Lerasle and Patricia Reynaud-Bouret},
  title={Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems},
  journal={Journal of Machine Learning Research},
  year={2012},
  volume={23},
  number={None},
  pages={-},
  }

• M. Fromont, B. Laurent, M. Lerasle, and P. Reynaud-Bouret, “Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems,” Journal of machine learning research, vol. 23, p. 23.1-23.22, 2012.
  [Bibtex]

  @ARTICLE{Fromont201223.1,
  author={Fromont, M. and Laurent, B. and Lerasle, M. and Reynaud-Bouret, P.},
  title={Kernels based tests with non-asymptotic bootstrap approaches for two-sample problems},
  journal={Journal of Machine Learning Research},
  year={2012},
  volume={23},
  pages={23.1-23.22},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898473605&partnerID=40&md5=7ff9ddf9ee403f11627633c85fa14862},
  document_type={Conference Paper},
  source={Scopus},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Estimating an endpoint with high-order moments,” Test, vol. 21, iss. 4, pp. 697-729, 2012.
  [Bibtex]

  @ARTICLE{Girard2012697,
  author={Girard, S. and Guillou, A. and Stupfler, G.},
  title={Estimating an endpoint with high-order moments},
  journal={Test},
  year={2012},
  volume={21},
  number={4},
  pages={697-729},
  doi={10.1007/s11749-011-0277-8},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867576585&doi=10.1007%2fs11749-011-0277-8&partnerID=40&md5=a5ce05bee1b9716b8449541639bc8a54},
  document_type={Article},
  source={Scopus},
  }

• S. Girard, A. Guillou, and G. Stupfler, “Estimating an endpoint with high order moments in the weibull domain of attraction,” Statistics and probability letters, vol. 82, iss. 12, pp. 2136-2144, 2012.
  [Bibtex]

  @ARTICLE{Girard20122136,
  author={Girard, S. and Guillou, A. and Stupfler, G.},
  title={Estimating an endpoint with high order moments in the Weibull domain of attraction},
  journal={Statistics and Probability Letters},
  year={2012},
  volume={82},
  number={12},
  pages={2136-2144},
  doi={10.1016/j.spl.2012.07.005},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865280281&doi=10.1016%2fj.spl.2012.07.005&partnerID=40&md5=d163614535612fe6070d3a683e30d2d4},
  document_type={Article},
  source={Scopus},
  }

• C. Giraud and A. Tsybakov, “Discussion: latent variable graphical model selection via convex optimization,” Annals of statistics, vol. 40, iss. 4, pp. 1984-1988, 2012.
  [Bibtex]

  @ARTICLE{Giraud20121984,
  author={Giraud, C. and Tsybakov, A.},
  title={Discussion: Latent variable graphical model selection via convex optimization},
  journal={Annals of Statistics},
  year={2012},
  volume={40},
  number={4},
  pages={1984-1988},
  doi={10.1214/12-AOS984},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872003285&doi=10.1214%2f12-AOS984&partnerID=40&md5=aa80d12b85e40525ab7e8dc6c9c96afc},
  document_type={Note},
  source={Scopus},
  }

• L. Herve, J. Ledoux, and V. Patilea, “A uniform berry-esseen theorem on m-estimators for geometrically ergodic markov chains,” Bernoulli, vol. 18, iss. 2, pp. 703-734, 2012.
  [Bibtex]

  @ARTICLE{Herve2012703,
  author={Herve, L. and Ledoux, J. and Patilea, V.},
  title={A uniform Berry-Esseen theorem on M-estimators for geometrically ergodic Markov chains},
  journal={Bernoulli},
  year={2012},
  volume={18},
  number={2},
  pages={703-734},
  doi={10.3150/10-BEJ347},
  note={cited By 11},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873335645&doi=10.3150%2f10-BEJ347&partnerID=40&md5=f247dc8bd5d68dde5dc94bff8fe1c127},
  document_type={Article},
  source={Scopus},
  }

• P. Lavergne and V. Patilea, “One for all and all for one: regression checks with many regressors,” Journal of business and economic statistics, vol. 30, iss. 1, pp. 41-52, 2012.
  [Bibtex]

  @ARTICLE{Lavergne201241,
  author={Lavergne, P. and Patilea, V.},
  title={One for all and all for one: Regression checks with many regressors},
  journal={Journal of Business and Economic Statistics},
  year={2012},
  volume={30},
  number={1},
  pages={41-52},
  doi={10.1198/jbes.2011.07152},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857082489&doi=10.1198%2fjbes.2011.07152&partnerID=40&md5=ce95bea872360d8cf4a2fcfd05036885},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and C. Mitchell, “Oracle inequalities for cross-validation type procedures,” Electronic journal of statistics, vol. 6, pp. 1803-1837, 2012.
  [Bibtex]

  @ARTICLE{Lecue20121803,
  author={Lecue, G. and Mitchell, C.},
  title={Oracle inequalities for cross-validation type procedures},
  journal={Electronic Journal of Statistics},
  year={2012},
  volume={6},
  pages={1803-1837},
  doi={10.1214/12-EJS730},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875375187&doi=10.1214%2f12-EJS730&partnerID=40&md5=ffbacbc4e2a0f0aadcd514c70d2b1500},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “General nonexact oracle inequalities for classes with a subexponential envelope,” Annals of statistics, vol. 40, iss. 2, pp. 832-860, 2012.
  [Bibtex]

  @ARTICLE{Lecue2012832,
  author={Lecue, G. and Mendelson, S.},
  title={General nonexact oracle inequalities for classes with a subexponential envelope},
  journal={Annals of Statistics},
  year={2012},
  volume={40},
  number={2},
  pages={832-860},
  doi={10.1214/11-AOS965},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872017707&doi=10.1214%2f11-AOS965&partnerID=40&md5=0036045ea644bbe6d1054544fc260007},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle, “Optimal model selection in density estimation,” Annales de l’institut henri poincare (b) probability and statistics, vol. 48, iss. 3, pp. 884-908, 2012.
  [Bibtex]

  @ARTICLE{Lerasle2012884,
  author={Lerasle, M.},
  title={Optimal model selection in density estimation},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2012},
  volume={48},
  number={3},
  pages={884-908},
  doi={10.1214/11-AIHP425},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873868523&doi=10.1214%2f11-AIHP425&partnerID=40&md5=f13580a54243b56e062d4a78f32cd4ed},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle, “Adaptive non-asymptotic confidence balls in density estimation,” Esaim – probability and statistics, vol. 16, pp. 61-85, 2012.
  [Bibtex]

  @ARTICLE{Lerasle201261,
  author={Lerasle, M.},
  title={Adaptive non-asymptotic confidence balls in density estimation},
  journal={ESAIM - Probability and Statistics},
  year={2012},
  volume={16},
  pages={61-85},
  doi={10.1051/ps/2010012},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996132157&doi=10.1051%2fps%2f2010012&partnerID=40&md5=a0de95802270caafa7591602fceace92},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea and H. Raissi, “Adaptive estimation of vector autoregressive models with time-varying variance: application to testing linear causality in mean,” Journal of statistical planning and inference, vol. 142, iss. 11, pp. 2891-2912, 2012.
  [Bibtex]

  @ARTICLE{Patilea20122891,
  author={Patilea, V. and Raissi, H.},
  title={Adaptive estimation of vector autoregressive models with time-varying variance: Application to testing linear causality in mean},
  journal={Journal of Statistical Planning and Inference},
  year={2012},
  volume={142},
  number={11},
  pages={2891-2912},
  doi={10.1016/j.jspi.2012.04.005},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862995394&doi=10.1016%2fj.jspi.2012.04.005&partnerID=40&md5=d59b6378d62f46da9b06601e3787922e},
  document_type={Article},
  source={Scopus},
  }

• P. Rigollet and A. B. Tsybakov, “Sparse estimation by exponential weighting,” Statistical science, vol. 27, iss. 4, pp. 558-575, 2012.
  [Bibtex]

  @ARTICLE{Rigollet2012558,
  author={Rigollet, P. and Tsybakov, A.B.},
  title={Sparse estimation by exponential weighting},
  journal={Statistical Science},
  year={2012},
  volume={27},
  number={4},
  pages={558-575},
  doi={10.1214/12-STS393},
  note={cited By 53},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871564349&doi=10.1214%2f12-STS393&partnerID=40&md5=d4d5154252826c1a4cc2274dc828ccac},
  document_type={Article},
  source={Scopus},
  }

• P. Rigollet and A. B. Tsybakov, “Comment,” Statistica sinica, vol. 22, iss. 4, pp. 1358-1367, 2012.
  [Bibtex]

  @ARTICLE{Rigollet20121358,
  author={Rigollet, P. and Tsybakov, A.B.},
  title={Comment},
  journal={Statistica Sinica},
  year={2012},
  volume={22},
  number={4},
  pages={1358-1367},
  doi={10.5705/ss.2010.253},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84866857300&doi=10.5705%2fss.2010.253&partnerID=40&md5=4ccc5ea95b265453b2953396f2c8d812},
  document_type={Note},
  source={Scopus},
  }

• J. Rousseau, N. Chopin, and B. Liseo, “Bayesian nonparametric estimation of the spectral density of a long or intermediate memory gaussian process,” Annals of statistics, vol. 40, iss. 2, pp. 964-995, 2012.
  [Bibtex]

  @ARTICLE{Rousseau2012964,
  author={Rousseau, J. and Chopin, N. and Liseo, B.},
  title={Bayesian nonparametric estimation of the spectral density of a long or intermediate memory gaussian process},
  journal={Annals of Statistics},
  year={2012},
  volume={40},
  number={2},
  pages={964-995},
  doi={10.1214/11-AOS955},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872066330&doi=10.1214%2f11-AOS955&partnerID=40&md5=530457e02a1f0d526c0a8143f3beb72a},
  document_type={Article},
  source={Scopus},
  }

• A. Saumard, “Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression,” Electronic journal of statistics, vol. 6, pp. 579-655, 2012.
  [Bibtex]

  @ARTICLE{Saumard2012579,
  author={Saumard, A.},
  title={Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression},
  journal={Electronic Journal of Statistics},
  year={2012},
  volume={6},
  pages={579-655},
  doi={10.1214/12-EJS679},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875388531&doi=10.1214%2f12-EJS679&partnerID=40&md5=ea858e50419342b415496cee38bddfff},
  document_type={Article},
  source={Scopus},
  }

• H. Shiraishi, H. Ogata, T. Amano, V. Patilea, D. Veredas, and M. Taniguchi, “Optimal portfolios with end-of-period target,” Advances in decision sciences, vol. 2012, 2012.
  [Bibtex]

  @ARTICLE{Shiraishi2012,
  author={Shiraishi, H. and Ogata, H. and Amano, T. and Patilea, V. and Veredas, D. and Taniguchi, M.},
  title={Optimal portfolios with end-of-period target},
  journal={Advances in Decision Sciences},
  year={2012},
  volume={2012},
  doi={10.1155/2012/703465},
  art_number={703465},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858329373&doi=10.1155%2f2012%2f703465&partnerID=40&md5=c3755b3181946b53b0b806ff764194ee},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet and J. Yao, “On the quasi-likelihood estimation for random coefficient autoregressions,” Statistics, vol. 46, iss. 4, pp. 505-521, 2012.
  [Bibtex]

  @ARTICLE{Truquet2012505,
  author={Truquet, L. and Yao, J.},
  title={On the quasi-likelihood estimation for random coefficient autoregressions},
  journal={Statistics},
  year={2012},
  volume={46},
  number={4},
  pages={505-521},
  doi={10.1080/02331888.2010.541557},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863816864&doi=10.1080%2f02331888.2010.541557&partnerID=40&md5=bbb59acf076785ec00a32bff70ca07d4},
  document_type={Article},
  source={Scopus},
  }

2011

• C. Butucea and K. Meziani, “Quadratic functional estimation in inverse problems,” Statistical methodology, 2011.
  [Bibtex]

  @article{butucea:hal-00361218,
  author={Butucea, Cristina and Meziani, Katia},
  title={Quadratic functional estimation in inverse problems},
  journal={Statistical Methodology},
  year={2011},
  }

• J. Audibert and O. Catoni, “Robust linear least squares regression,” Annals of statistics, 2011.
  [Bibtex]

  @article{audibert:hal-00522534,
  author={Audibert, Jean-Yves and Catoni, Olivier},
  title={Robust linear least squares regression},
  journal={Annals of Statistics},
  year={2011},
  }

• J. Audibert and O. Catoni, “Supplement to ”robust linear least squares regression”,” Annals of statistics, 2011.
  [Bibtex]

  @article{audibert:hal-00624459,
  author={Audibert, Jean-Yves and Catoni, Olivier},
  title={Supplement to ''Robust linear least squares regression''},
  journal={Annals of Statistics},
  year={2011},
  }

• N. Chopin, “Fast simulation of truncated gaussian distributions,” Statistics and computing, 2011.
  [Bibtex]

  @article{chopin:hal-02403310,
  author={Chopin, Nicolas},
  title={Fast simulation of truncated Gaussian distributions},
  journal={Statistics and Computing},
  year={2011},
  }

• N. Chopin, P. Del Moral, and S. Rubenthaler, “Stability of feynman-kac formulae with path-dependent potentials,” Stochastic processes and their applications, 2011.
  [Bibtex]

  @article{chopin:hal-02403312,
  author={Chopin, Nicolas and Del Moral, P. and Rubenthaler, S.},
  title={Stability of Feynman-Kac formulae with path-dependent potentials},
  journal={Stochastic Processes and their Applications},
  year={2011},
  }

• S. Clemencon, R. Gaudel, and J. JAKUBOWICZ, “Clustering rankings in the fourier domain.” , 2011.
  [Bibtex]

  @incollection{clemencon:hal-02107342,
  author={Clemencon, Stephan and Gaudel, Romaric and JAKUBOWICZ, Jeremie},
  title={Clustering Rankings in the Fourier Domain},
  journal={},
  year={2011},
  }

• M. Lerasle and D. Y. Takahashi, “An oracle approach for interaction neighborhood estimation in random field,” Electronic journal of statistics, 2011.
  [Bibtex]

  @article{lerasle:hal-00913724,
  author={Lerasle, Matthieu and Takahashi, D.Y.},
  title={An Oracle Approach for Interaction Neighborhood Estimation in Random Field},
  journal={Electronic Journal of Statistics},
  year={2011},
  }

• D. Bohning, H. Holling, and V. Patilea, “A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test,” Statistical methods in medical research, 2011.
  [Bibtex]

  @article{bohning:hal-00776386,
  author={Bohning, Dankmar and Holling, Heinz and Patilea, Valentin},
  title={A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test},
  journal={Statistical Methods in Medical Research},
  year={2011},
  }

• M. Kachour and L. Truquet, “A p-order signed integer-valued autoregressive (sinar(p)) model,” Journal of time series analysis, 2011.
  [Bibtex]

  @article{kachour:hal-00589928,
  author={Kachour, Maher and Truquet, Lionel},
  title={A p-Order signed integer-valued autoregressive (SINAR(p)) model},
  journal={Journal of Time Series Analysis},
  year={2011},
  }

• L. Truquet, “On a nonparametric resampling scheme for markov random fields,” Electronic journal of statistics, 2011.
  [Bibtex]

  @article{truquet:hal-00671993,
  author={Truquet, Lionel},
  title={On a nonparametric resampling scheme for Markov random fields},
  journal={Electronic Journal of Statistics},
  year={2011},
  }

• P. Alquier and M. Hebiri, “Generalization of â„“1 constraints for high dimensional regression problems,” Statistics and probability letters, vol. 81, iss. 12, pp. 1760-1765, 2011.
  [Bibtex]

  @ARTICLE{Alquier20111760,
  author={Alquier, P. and Hebiri, M.},
  title={Generalization of â„“1 constraints for high dimensional regression problems},
  journal={Statistics and Probability Letters},
  year={2011},
  volume={81},
  number={12},
  pages={1760-1765},
  doi={10.1016/j.spl.2011.07.011},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053648228&doi=10.1016%2fj.spl.2011.07.011&partnerID=40&md5=f54a165bc13f86bc3a93dfc64af26702},
  document_type={Article},
  source={Scopus},
  }

• R. Angelika and A. B. Tsybakov, “Estimation of high-dimensional low-rank matrices,” Annals of statistics, vol. 39, iss. 2, pp. 887-930, 2011.
  [Bibtex]

  @ARTICLE{Angelika2011887,
  author={Angelika, R. and Tsybakov, A.B.},
  title={Estimation of high-dimensional low-rank matrices},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={2},
  pages={887-930},
  doi={10.1214/10-AOS860},
  note={cited By 145},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952902758&doi=10.1214%2f10-AOS860&partnerID=40&md5=2668e73f1982412a7ea19c15a59e452a},
  document_type={Article},
  source={Scopus},
  }

• J. -Y. Audibert and O. Catoni, “Robust linear least squares regression,” Annals of statistics, vol. 39, iss. 5, pp. 2766-2794, 2011.
  [Bibtex]

  @ARTICLE{Audibert20112766,
  author={Audibert, J.-Y. and Catoni, O.},
  title={Robust linear least squares regression},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={5},
  pages={2766-2794},
  doi={10.1214/11-AOS918},
  note={cited By 63},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84868123239&doi=10.1214%2f11-AOS918&partnerID=40&md5=91d7e04a920177096c6bb738ca48ab1c},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and K. Meziani, “Quadratic functional estimation in inverse problems,” Statistical methodology, vol. 8, iss. 1, pp. 31-41, 2011.
  [Bibtex]

  @ARTICLE{Butucea201131,
  author={Butucea, C. and Meziani, K.},
  title={Quadratic functional estimation in inverse problems},
  journal={Statistical Methodology},
  year={2011},
  volume={8},
  number={1},
  pages={31-41},
  doi={10.1016/j.stamet.2010.05.002},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649689022&doi=10.1016%2fj.stamet.2010.05.002&partnerID=40&md5=3f3e5c7651bc05690430dc4eed84530d},
  document_type={Article},
  source={Scopus},
  }

• D. Bohning, H. Holling, and V. Patilea, “A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test,” Statistical methods in medical research, vol. 20, iss. 5, pp. 541-550, 2011.
  [Bibtex]

  @ARTICLE{Bohning2011541,
  author={Bohning, D. and Holling, H. and Patilea, V.},
  title={A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test},
  journal={Statistical Methods in Medical Research},
  year={2011},
  volume={20},
  number={5},
  pages={541-550},
  doi={10.1177/0962280210374532},
  note={cited By 45},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80155136203&doi=10.1177%2f0962280210374532&partnerID=40&md5=8a647d1be367fe912e9f319e32a0cecf},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, “Fast simulation of truncated gaussian distributions,” Statistics and computing, vol. 21, iss. 2, pp. 275-288, 2011.
  [Bibtex]

  @ARTICLE{Chopin2011275,
  author={Chopin, N.},
  title={Fast simulation of truncated Gaussian distributions},
  journal={Statistics and Computing},
  year={2011},
  volume={21},
  number={2},
  pages={275-288},
  doi={10.1007/s11222-009-9168-1},
  note={cited By 53},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951550930&doi=10.1007%2fs11222-009-9168-1&partnerID=40&md5=8ad475abcb6e37296e589e17d7e1f467},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, P. Del Moral, and S. Rubenthaler, “Stability of feynman-kac formulae with path-dependent potentials,” Stochastic processes and their applications, vol. 121, iss. 1, pp. 38-60, 2011.
  [Bibtex]

  @ARTICLE{Chopin201138,
  author={Chopin, N. and Del Moral, P. and Rubenthaler, S.},
  title={Stability of Feynman-Kac formulae with path-dependent potentials},
  journal={Stochastic Processes and their Applications},
  year={2011},
  volume={121},
  number={1},
  pages={38-60},
  doi={10.1016/j.spa.2010.08.012},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149471152&doi=10.1016%2fj.spa.2010.08.012&partnerID=40&md5=b2c3b839946600cb56f4ea2540b5f1cc},
  document_type={Article},
  source={Scopus},
  }

• S. Clemençon, R. Gaudel, and J. Jakubowicz, “Clustering rankings in the fourier domain,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6911 LNAI, iss. PART 1, pp. 343-358, 2011.
  [Bibtex]

  @ARTICLE{Clemençon2011343,
  author={Clemençon, S. and Gaudel, R. and Jakubowicz, J.},
  title={Clustering rankings in the Fourier domain},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2011},
  volume={6911 LNAI},
  number={PART 1},
  pages={343-358},
  doi={10.1007/978-3-642-23780-5_32},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052423833&doi=10.1007%2f978-3-642-23780-5_32&partnerID=40&md5=d0240c5627b3214d5afadac9cc37b583},
  document_type={Conference Paper},
  source={Scopus},
  }

• L. Comminges and A. S. Dalalyan, “Tight conditions for consistent variable selection in high dimensional nonparametric regression,” Journal of machine learning research, vol. 19, iss. None, pp. 187-205, 2011.
  [Bibtex]

  @ARTICLE{Comminges2011TightRegression,
  author={Laetitia Comminges and Arnak S. Dalalyan},
  title={Tight conditions for consistent variable selection in high dimensional nonparametric regression},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  number={None},
  pages={187-205},
  }

• L. Comminges and A. S. Dalalyan, “Tight conditions for consistent variable selection in high dimensional nonparametric regression,” Journal of machine learning research, vol. 19, pp. 187-205, 2011.
  [Bibtex]

  @ARTICLE{Comminges2011187,
  author={Comminges, L. and Dalalyan, A.S.},
  title={Tight conditions for consistent variable selection in high dimensional nonparametric regression},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  pages={187-205},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84873389494&partnerID=40&md5=599a178757ca5086dbdc54dba8e7e81f},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. S. Dalalyan and J. Salmon, “Competing against the best nearest neighbor filter in regression,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6925 LNAI, pp. 129-143, 2011.
  [Bibtex]

  @ARTICLE{Dalalyan2011129,
  author={Dalalyan, A.S. and Salmon, J.},
  title={Competing against the best nearest neighbor filter in regression},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2011},
  volume={6925 LNAI},
  pages={129-143},
  doi={10.1007/978-3-642-24412-4_13},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054093390&doi=10.1007%2f978-3-642-24412-4_13&partnerID=40&md5=b67055016739808aca5ca10ebf45bd97},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Dalalyan and N. Yoshida, “Second-order asymptotic expansion for a non-synchronous covariation estimator,” Annales de l’institut henri poincare (b) probability and statistics, vol. 47, iss. 3, pp. 748-789, 2011.
  [Bibtex]

  @ARTICLE{Dalalyan2011748,
  author={Dalalyan, A. and Yoshida, N.},
  title={Second-order asymptotic expansion for a non-synchronous covariation estimator},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2011},
  volume={47},
  number={3},
  pages={748-789},
  doi={10.1214/10-AIHP383},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960165359&doi=10.1214%2f10-AIHP383&partnerID=40&md5=ba40bad55f6f86a1b1ea3cc9da2c112c},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and B. S. Nahapetian, “Description of random fields by means of one-point finite-conditional distributions,” Journal of contemporary mathematical analysis, vol. 46, iss. 2, pp. 113-119, 2011.
  [Bibtex]

  @ARTICLE{Dalalyan2011113,
  author={Dalalyan, A.S. and Nahapetian, B.S.},
  title={Description of random fields by means of one-point finite-conditional distributions},
  journal={Journal of Contemporary Mathematical Analysis},
  year={2011},
  volume={46},
  number={2},
  pages={113-119},
  doi={10.3103/S1068362311020075},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955669806&doi=10.3103%2fS1068362311020075&partnerID=40&md5=2fbffb6de535cb74e0d965fcd75c2d0f},
  document_type={Article},
  source={Scopus},
  }

• R. Gaudel, J. -B. Hoock, J. Perez, N. Sokolovska, and O. Teytaud, “A principled method for exploiting opening books,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6515 LNCS, pp. 136-144, 2011.
  [Bibtex]

  @ARTICLE{Gaudel2011136,
  author={Gaudel, R. and Hoock, J.-B. and Perez, J. and Sokolovska, N. and Teytaud, O.},
  title={A principled method for exploiting opening books},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2011},
  volume={6515 LNCS},
  pages={136-144},
  doi={10.1007/978-3-642-17928-0_13},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952011310&doi=10.1007%2f978-3-642-17928-0_13&partnerID=40&md5=6028201ea025d90299e1796e7777d6f5},
  document_type={Conference Paper},
  source={Scopus},
  }

• S. Gaiffas and G. Lecue, “Hyper-sparse optimal aggregation,” Journal of machine learning research, vol. 12, iss. None, pp. 1813-1833, 2011.
  [Bibtex]

  @ARTICLE{Gaiffas2011Hyper-SparseAggregation,
  author={Stephane Gaiffas and Guillaume Lecue},
  title={Hyper-sparse optimal aggregation},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={12},
  number={None},
  pages={1813-1833},
  }

• S. Gaiffas and G. Lecue, “Sharp oracle inequalities for high-dimensional matrix prediction,” Ieee transactions on information theory, vol. 57, iss. 10, pp. 6942-6957, 2011.
  [Bibtex]

  @ARTICLE{Gaiffas20116942,
  author={Gaiffas, S. and Lecue, G.},
  title={Sharp oracle inequalities for high-dimensional matrix prediction},
  journal={IEEE Transactions on Information Theory},
  year={2011},
  volume={57},
  number={10},
  pages={6942-6957},
  doi={10.1109/TIT.2011.2136318},
  art_number={6034724},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80054004560&doi=10.1109%2fTIT.2011.2136318&partnerID=40&md5=1721d76e2c1fabf2b8ea7c0b98264383},
  document_type={Article},
  source={Scopus},
  }

• S. Gaiffas and G. Lecue, “Hyper-sparse optimal aggregation,” Journal of machine learning research, vol. 12, pp. 1813-1833, 2011.
  [Bibtex]

  @ARTICLE{Gaiffas20111813,
  author={Gaiffas, S. and Lecue, G.},
  title={Hyper-sparse optimal aggregation},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={12},
  pages={1813-1833},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960119506&partnerID=40&md5=dff2e8e3c0c3b4c3ad0ee9ca3f103f77},
  document_type={Article},
  source={Scopus},
  }

• M. Hebiri and S. van de Geer, “The smooth-lasso and other â„“1 + â„“2-penalized methods,” Electronic journal of statistics, vol. 5, pp. 1184-1226, 2011.
  [Bibtex]

  @ARTICLE{Hebiri20111184,
  author={Hebiri, M. and van de Geer, S.},
  title={The smooth-lasso and other â„“1 + â„“2-penalized methods},
  journal={Electronic Journal of Statistics},
  year={2011},
  volume={5},
  pages={1184-1226},
  doi={10.1214/11-EJS638},
  note={cited By 44},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858077893&doi=10.1214%2f11-EJS638&partnerID=40&md5=c2498ce90d2a433def31aa0562d6186c},
  document_type={Article},
  source={Scopus},
  }

• M. Kachour and L. Truquet, “A p-order signed integer-valued autoregressive (sinar(p)) model,” Journal of time series analysis, vol. 32, iss. 3, pp. 223-236, 2011.
  [Bibtex]

  @ARTICLE{Kachour2011223,
  author={Kachour, M. and Truquet, L.},
  title={A p-Order signed integer-valued autoregressive (SINAR(p)) model},
  journal={Journal of Time Series Analysis},
  year={2011},
  volume={32},
  number={3},
  pages={223-236},
  doi={10.1111/j.1467-9892.2010.00694.x},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953859662&doi=10.1111%2fj.1467-9892.2010.00694.x&partnerID=40&md5=5251d0880fe39489c2e3a538a2dd3c15},
  document_type={Article},
  source={Scopus},
  }

• V. Koltchinskii, K. Lounici, and A. B. Tsybakov, “Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion,” Annals of statistics, vol. 39, iss. 5, pp. 2302-2329, 2011.
  [Bibtex]

  @ARTICLE{Koltchinskii20112302,
  author={Koltchinskii, V. and Lounici, K. and Tsybakov, A.B.},
  title={Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={5},
  pages={2302-2329},
  doi={10.1214/11-AOS894},
  note={cited By 242},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82655171609&doi=10.1214%2f11-AOS894&partnerID=40&md5=d196bec4fb075748b70cefb4eb5e33fc},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle and D. Y. Takahashi, “An oracle approach for interaction neighborhood estimation in random fields,” Electronic journal of statistics, vol. 5, pp. 534-571, 2011.
  [Bibtex]

  @ARTICLE{Lerasle2011534,
  author={Lerasle, M. and Takahashi, D.Y.},
  title={An oracle approach for interaction neighborhood estimation in random fields},
  journal={Electronic Journal of Statistics},
  year={2011},
  volume={5},
  pages={534-571},
  doi={10.1214/11-EJS618},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961017280&doi=10.1214%2f11-EJS618&partnerID=40&md5=668f554eb304a0c0844288d5056cff4f},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle, “Optimal model selection for density estimation of stationary data under various mixing conditions,” Annals of statistics, vol. 39, iss. 4, pp. 1852-1877, 2011.
  [Bibtex]

  @ARTICLE{Lerasle20111852,
  author={Lerasle, M.},
  title={Optimal model selection for density estimation of stationary data under various mixing conditions},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={4},
  pages={1852-1877},
  doi={10.1214/11-AOS888},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052846355&doi=10.1214%2f11-AOS888&partnerID=40&md5=9d6a596e33810a10dc47a3ee2ea5468c},
  document_type={Article},
  source={Scopus},
  }

• K. Lounici, M. Pontil, S. Van De Geer, and A. B. Tsybakov, “Oracle inequalities and optimal inference under group sparsity,” Annals of statistics, vol. 39, iss. 4, pp. 2164-2204, 2011.
  [Bibtex]

  @ARTICLE{Lounici20112164,
  author={Lounici, K. and Pontil, M. and Van De Geer, S. and Tsybakov, A.B.},
  title={Oracle inequalities and optimal inference under group sparsity},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={4},
  pages={2164-2204},
  doi={10.1214/11-AOS896},
  note={cited By 128},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855412474&doi=10.1214%2f11-AOS896&partnerID=40&md5=7b317396150f020886542c98172397db},
  document_type={Article},
  source={Scopus},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Robust approachability and regret minimization in games with partial monitoring,” Journal of machine learning research, vol. 19, iss. None, pp. 515-536, 2011.
  [Bibtex]

  @ARTICLE{Mannor2011RobustMonitoring,
  author={Shie Mannor and Vianney Perchet and Gilles Stoltz},
  title={Robust approachability and regret minimization in games with partial monitoring},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  number={None},
  pages={515-536},
  }

• S. Mannor, V. Perchet, and G. Stoltz, “Robust approachability and regret minimization in games with partial monitoring,” Journal of machine learning research, vol. 19, pp. 515-536, 2011.
  [Bibtex]

  @ARTICLE{Mannor2011515,
  author={Mannor, S. and Perchet, V. and Stoltz, G.},
  title={Robust approachability and regret minimization in games with partial monitoring},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  pages={515-536},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898445296&partnerID=40&md5=f107077fb5c959de65bb8d0585fdfcf7},
  document_type={Conference Paper},
  source={Scopus},
  }

• V. Perchet, “Internal regret with partial monitoring: calibration-based optimal algorithms,” Journal of machine learning research, vol. 12, iss. None, pp. 1896-1921, 2011.
  [Bibtex]

  @ARTICLE{Perchet2011InternalAlgorithms,
  author={Vianney Perchet},
  title={Internal regret with partial monitoring: Calibration-based optimal algorithms},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={12},
  number={None},
  pages={1896-1921},
  }

• V. Perchet, “Approachability of convex sets in games with partial monitoring,” Journal of optimization theory and applications, vol. 149, iss. 3, pp. 665-677, 2011.
  [Bibtex]

  @ARTICLE{Perchet2011665,
  author={Perchet, V.},
  title={Approachability of Convex Sets in Games with Partial Monitoring},
  journal={Journal of Optimization Theory and Applications},
  year={2011},
  volume={149},
  number={3},
  pages={665-677},
  doi={10.1007/s10957-011-9797-3},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79955809186&doi=10.1007%2fs10957-011-9797-3&partnerID=40&md5=1a642a143c2fbf8638a0ec85a935e67a},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, “Internal regret with partial monitoring: calibration-based optimal algorithms,” Journal of machine learning research, vol. 12, pp. 1896-1921, 2011.
  [Bibtex]

  @ARTICLE{Perchet20111896,
  author={Perchet, V.},
  title={Internal regret with partial monitoring: Calibration-based optimal algorithms},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={12},
  pages={1896-1921},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960129843&partnerID=40&md5=548ae0aa9f08eea311b2e7f4bcf3f575},
  document_type={Article},
  source={Scopus},
  }

• P. Rigollet and A. Tsybakov, “Exponential screening and optimal rates of sparse estimation,” Annals of statistics, vol. 39, iss. 2, pp. 731-771, 2011.
  [Bibtex]

  @ARTICLE{Rigollet2011731,
  author={Rigollet, P. and Tsybakov, A.},
  title={Exponential screening and optimal rates of sparse estimation},
  journal={Annals of Statistics},
  year={2011},
  volume={39},
  number={2},
  pages={731-771},
  doi={10.1214/10-AOS854},
  note={cited By 97},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952982333&doi=10.1214%2f10-AOS854&partnerID=40&md5=e5a13925b149adb416ef5ad4169d13c8},
  document_type={Article},
  source={Scopus},
  }

• J. Salmon and A. Dalalyan, “Optimal aggregation of affine estimators,” Journal of machine learning research, vol. 19, iss. None, pp. 635-660, 2011.
  [Bibtex]

  @ARTICLE{Salmon2011OptimalEstimators,
  author={Joseph Salmon and Arnak Dalalyan},
  title={Optimal aggregation of affine estimators},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  number={None},
  pages={635-660},
  }

• J. Salmon and A. Dalalyan, “Optimal aggregation of affine estimators,” Journal of machine learning research, vol. 19, pp. 635-660, 2011.
  [Bibtex]

  @ARTICLE{Salmon2011635,
  author={Salmon, J. and Dalalyan, A.},
  title={Optimal aggregation of affine estimators},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={19},
  pages={635-660},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898450217&partnerID=40&md5=8e2abd3e1b381c00901c712afeb06e8e},
  document_type={Conference Paper},
  source={Scopus},
  }

• L. Truquet, “On a nonparametric resampling scheme for markov random fields,” Electronic journal of statistics, vol. 5, pp. 1503-1536, 2011.
  [Bibtex]

  @ARTICLE{Truquet20111503,
  author={Truquet, L.},
  title={On a nonparametric resampling scheme for Markov random fields},
  journal={Electronic Journal of Statistics},
  year={2011},
  volume={5},
  pages={1503-1536},
  doi={10.1214/11-EJS644},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859879708&doi=10.1214%2f11-EJS644&partnerID=40&md5=536e1e60848e2006baea4f2a50029fc9},
  document_type={Article},
  source={Scopus},
  }

2010

• C. Butucea and K. Meziani, “Quadratic functional estimation in inverse problems,” Statistical methodology, 2010.
  [Bibtex]

  @article{butucea:hal-00634945,
  author={Butucea, Cristina and Meziani, Katia},
  title={Quadratic functional estimation in inverse problems},
  journal={Statistical Methodology},
  year={2010},
  }

• N. Chopin and C. R. Robert, “Properties of nested sampling,” Biometrika, 2010.
  [Bibtex]

  @article{chopin:hal-02403316,
  author={Chopin, Nicolas and Robert, Cedric Robert},
  title={Properties of nested sampling},
  journal={Biometrika},
  year={2010},
  }

• L. Truquet, “A moment inequality of the marcinkiewicz-zygmund type for some weakly dependent random fields,” Statistics and probability letters, 2010.
  [Bibtex]

  @article{truquet:hal-00671842,
  author={Truquet, Lionel},
  title={A moment inequality of the Marcinkiewicz-Zygmund type for some weakly dependent random fields},
  journal={Statistics and Probability Letters},
  year={2010},
  }

• L. Truquet, “A moment inequality of the marcinkiewicz-zygmund type for some weakly dependent random fields,” Statistics and probability letters, 2010.
  [Bibtex]

  @article{truquet:hal-00536366,
  author={Truquet, Lionel},
  title={A moment inequality of the Marcinkiewicz-Zygmund type for some weakly dependent random fields},
  journal={Statistics and Probability Letters},
  year={2010},
  }

• U. Amato, A. Antoniadis, A. Samarov, and A. Tsybakov, “Noisy independent factor analysis model for density estimation and classification,” Electronic journal of statistics, 2010.
  [Bibtex]

  @article{amato:hal-00853950,
  author={Amato, Umberto and Antoniadis, Anestis and Samarov, Alexander and Tsybakov, Alexandre},
  title={Noisy Independent Factor Analysis Model for Density Estimation and Classification},
  journal={Electronic Journal of Statistics},
  year={2010},
  }

• M. Vimond, “Efficient estimation for a subclass of shape invariant models,” Annals of statistics, 2010.
  [Bibtex]

  @article{vimond:hal-00537840,
  author={Vimond, Myriam},
  title={Efficient estimation for a subclass of shape invariant models},
  journal={Annals of Statistics},
  year={2010},
  }

• U. Amatok, A. Antoniadis, A. Samarov, and A. B. Tsybakov, “Noisy independent factor analysis model for density estimation and classification,” Electronic journal of statistics, vol. 4, pp. 707-736, 2010.
  [Bibtex]

  @ARTICLE{Amatok2010707,
  author={Amatok, U. and Antoniadis, A. and Samarov, A. and Tsybakov, A.B.},
  title={Noisy independent factor analysis model for density estimation and classification},
  journal={Electronic Journal of Statistics},
  year={2010},
  volume={4},
  pages={707-736},
  doi={10.1214/09-EJS498},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996854813&doi=10.1214%2f09-EJS498&partnerID=40&md5=22ccee5a4f4b5e0fdb0b8d1403b2b4cf},
  document_type={Article},
  source={Scopus},
  }

• R. Behmo, P. Marcombes, A. Dalalyan, and V. Prinet, “Towards optimal naive bayes nearest neighbor,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6314 LNCS, iss. PART 4, pp. 171-184, 2010.
  [Bibtex]

  @ARTICLE{Behmo2010171,
  author={Behmo, R. and Marcombes, P. and Dalalyan, A. and Prinet, V.},
  title={Towards optimal naive bayes nearest neighbor},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2010},
  volume={6314 LNCS},
  number={PART 4},
  pages={171-184},
  doi={10.1007/978-3-642-15561-1_13},
  note={cited By 40},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149351842&doi=10.1007%2f978-3-642-15561-1_13&partnerID=40&md5=f2d63aa8651cc4c3e1657e3d388f42e7},
  document_type={Conference Paper},
  source={Scopus},
  }

• F. Bunea, A. B. Tsybakov, M. H. Wegkamp, and A. Barbu, “Spades and mixture models,” Annals of statistics, vol. 38, iss. 4, pp. 2525-2558, 2010.
  [Bibtex]

  @ARTICLE{Bunea20102525,
  author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H. and Barbu, A.},
  title={SPADES and mixture models},
  journal={Annals of Statistics},
  year={2010},
  volume={38},
  number={4},
  pages={2525-2558},
  doi={10.1214/09-AOS790},
  note={cited By 25},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955153854&doi=10.1214%2f09-AOS790&partnerID=40&md5=c9244cd8eb109fb2c17a85d269d01db9},
  document_type={Article},
  source={Scopus},
  }

• T. Burr, N. Hengartner, E. Matzner-Lober, S. Myers, and L. Rouviere, “Smoothing low resolution gamma spectra,” Ieee transactions on nuclear science, vol. 57, iss. 5 PART 3, pp. 2831-2840, 2010.
  [Bibtex]

  @ARTICLE{Burr20102831,
  author={Burr, T. and Hengartner, N. and Matzner-Lober, E. and Myers, S. and Rouviere, L.},
  title={Smoothing low resolution gamma spectra},
  journal={IEEE Transactions on Nuclear Science},
  year={2010},
  volume={57},
  number={5 PART 3},
  pages={2831-2840},
  doi={10.1109/TNS.2010.2054110},
  art_number={5557776},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953780215&doi=10.1109%2fTNS.2010.2054110&partnerID=40&md5=1ec8ea5fabf288db78d9ac6ab36e3fcc},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin and C. P. Robert, “Properties of nested sampling,” Biometrika, vol. 97, iss. 3, pp. 741-755, 2010.
  [Bibtex]

  @ARTICLE{Chopin2010741,
  author={Chopin, N. and Robert, C.P.},
  title={Properties of nested sampling},
  journal={Biometrika},
  year={2010},
  volume={97},
  number={3},
  pages={741-755},
  doi={10.1093/biomet/asq021},
  note={cited By 49},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955861158&doi=10.1093%2fbiomet%2fasq021&partnerID=40&md5=cc05fc1a85b552e1b5c326d62949bd07},
  document_type={Article},
  source={Scopus},
  }

• J. Courchay, A. Dalalyan, R. Keriven, and P. Sturm, “Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 6312 LNCS, iss. PART 2, pp. 85-99, 2010.
  [Bibtex]

  @ARTICLE{Courchay201085,
  author={Courchay, J. and Dalalyan, A. and Keriven, R. and Sturm, P.},
  title={Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2010},
  volume={6312 LNCS},
  number={PART 2},
  pages={85-99},
  doi={10.1007/978-3-642-15552-9_7},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149352644&doi=10.1007%2f978-3-642-15552-9_7&partnerID=40&md5=812a741c83f57569ad1f620fd2ef7cd2},
  document_type={Conference Paper},
  source={Scopus},
  }

• M. Gue and C. Butucea, “Quantum u-statistics,” Journal of mathematical physics, vol. 51, iss. 10, 2010.
  [Bibtex]

  @ARTICLE{Gue2010,
  author={Gue, M. and Butucea, C.},
  title={Quantum U-statistics},
  journal={Journal of Mathematical Physics},
  year={2010},
  volume={51},
  number={10},
  doi={10.1063/1.3476776},
  art_number={102202},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-78149486128&doi=10.1063%2f1.3476776&partnerID=40&md5=1ff9ed691d97994a2c38ebf973d7a333},
  document_type={Article},
  source={Scopus},
  }

• M. Hebiri, “Sparse conformal predictors: scp,” Statistics and computing, vol. 20, iss. 2, pp. 253-266, 2010.
  [Bibtex]

  @ARTICLE{Hebiri2010253,
  author={Hebiri, M.},
  title={Sparse conformal predictors: SCP},
  journal={Statistics and Computing},
  year={2010},
  volume={20},
  number={2},
  pages={253-266},
  doi={10.1007/s11222-009-9167-2},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953323776&doi=10.1007%2fs11222-009-9167-2&partnerID=40&md5=4bbe7ede3209295185310f97b5f00032},
  document_type={Article},
  source={Scopus},
  }

• Y. I. Ingster, A. B. Tsybakov, and N. Verzelen, “Detection boundary in sparse regression,” Electronic journal of statistics, vol. 4, pp. 1476-1526, 2010.
  [Bibtex]

  @ARTICLE{Ingster20101476,
  author={Ingster, Y.I. and Tsybakov, A.B. and Verzelen, N.},
  title={Detection boundary in sparse regression},
  journal={Electronic Journal of Statistics},
  year={2010},
  volume={4},
  pages={1476-1526},
  doi={10.1214/10-EJS589},
  note={cited By 54},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-82655182652&doi=10.1214%2f10-EJS589&partnerID=40&md5=0b9e5b75077d73e4668d3b72b1ea50f1},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Sharper lower bounds on the performance of the empirical risk minimization algorithm,” Bernoulli, vol. 16, iss. 3, pp. 605-613, 2010.
  [Bibtex]

  @ARTICLE{Lecue2010605,
  author={Lecue, G. and Mendelson, S.},
  title={Sharper lower bounds on the performance of the empirical risk minimization algorithm},
  journal={Bernoulli},
  year={2010},
  volume={16},
  number={3},
  pages={605-613},
  doi={10.3150/09-BEJ225},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957597566&doi=10.3150%2f09-BEJ225&partnerID=40&md5=d41a0ecc04b1ee9885bbed463ea7c056},
  document_type={Article},
  source={Scopus},
  }

• M. Rosenbaum and A. B. Tsybakov, “Sparse recovery under matrix uncertainty,” Annals of statistics, vol. 38, iss. 5, pp. 2620-2651, 2010.
  [Bibtex]

  @ARTICLE{Rosenbaum20102620,
  author={Rosenbaum, M. and Tsybakov, A.B.},
  title={Sparse recovery under matrix uncertainty},
  journal={Annals of Statistics},
  year={2010},
  volume={38},
  number={5},
  pages={2620-2651},
  doi={10.1214/10-AOS793},
  note={cited By 68},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957596337&doi=10.1214%2f10-AOS793&partnerID=40&md5=55eb0b56c672d7bbf7a0296a5da1d590},
  document_type={Article},
  source={Scopus},
  }

• L. Truquet, “A moment inequality of the marcinkiewicz-zygmund type for some weakly dependent random fields,” Statistics and probability letters, vol. 80, iss. 21-22, pp. 1673-1679, 2010.
  [Bibtex]

  @ARTICLE{Truquet20101673,
  author={Truquet, L.},
  title={A moment inequality of the Marcinkiewicz-Zygmund type for some weakly dependent random fields},
  journal={Statistics and Probability Letters},
  year={2010},
  volume={80},
  number={21-22},
  pages={1673-1679},
  doi={10.1016/j.spl.2010.07.011},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955843572&doi=10.1016%2fj.spl.2010.07.011&partnerID=40&md5=f8be12add17b7caa515315508a332be4},
  document_type={Article},
  source={Scopus},
  }

• M. Vimond, “Efficient estimation for a subclass of shape invariant models,” Annals of statistics, vol. 38, iss. 3, pp. 1885-1912, 2010.
  [Bibtex]

  @ARTICLE{Vimond20101885,
  author={Vimond, M.},
  title={Efficient estimation for a subclass of shape invariant models},
  journal={Annals of Statistics},
  year={2010},
  volume={38},
  number={3},
  pages={1885-1912},
  doi={10.1214/07-AOS566},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951491268&doi=10.1214%2f07-AOS566&partnerID=40&md5=3e0f9b215d3205522d92abe1d52fcc0d},
  document_type={Article},
  source={Scopus},
  }

2009

• J. Aubry, C. Butucea, and K. Meziani, “State estimation in quantum homodyne tomography with noisy data,” Inverse problems, 2009.
  [Bibtex]

  @article{aubry:hal-00273631,
  author={Aubry, Jean-Marie and Butucea, Cristina and Meziani, Katia},
  title={State estimation in quantum homodyne tomography with noisy data},
  journal={Inverse Problems},
  year={2009},
  }

• C. Butucea, C. Matias, and C. Pouet, “Adaptive goodness-of-fit testing from indirect observations,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2009.
  [Bibtex]

  @article{butucea:hal-00591200,
  author={Butucea, Cristina and Matias, Catherine and Pouet, Christophe},
  title={Adaptive goodness-of-fit testing from indirect observations},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2009},
  }

• C. Butucea and F. Comte, “Adaptive estimation of linear functionals in the convolution model and applications.,” Bernoulli, 2009.
  [Bibtex]

  @article{butucea:hal-00133750,
  author={Butucea, Cristina and Comte, Fabienne},
  title={Adaptive estimation of linear functionals in the convolution model and applications.},
  journal={Bernoulli},
  year={2009},
  }

• N. Chopin, “Jim albert: bayesian computation with r,” Statistics and computing, 2009.
  [Bibtex]

  @article{chopin:hal-02403323,
  author={Chopin, Nicolas},
  title={Jim Albert: Bayesian computation with R},
  journal={Statistics and Computing},
  year={2009},
  }

• C. Robert, N. Chopin, and J. Rousseau, “Harold jeffreys’s theory of probability revisited,” Statistical science, 2009.
  [Bibtex]

  @article{robert:hal-02403322,
  author={Robert, Christian and Chopin, Nicolas and Rousseau, Judith},
  title={Harold Jeffreys's Theory of Probability Revisited},
  journal={Statistical Science},
  year={2009},
  }

• H. Rue, S. Martino, and N. Chopin, “Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations,” Journal of the royal statistical society: series b (statistical methodology), 2009.
  [Bibtex]

  @article{rue:hal-02403320,
  author={Rue, Havard and Martino, Sara and Chopin, Nicolas},
  title={Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations},
  journal={Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
  year={2009},
  }

• C. Robert, N. Chopin, and J. Rousseau, “Harold jeffreys’ theory of probability revisited: a reply,” Statistical science, 2009.
  [Bibtex]

  @article{robert:hal-00415936,
  author={Robert, Christian and Chopin, Nicolas and Rousseau, Judith},
  title={Harold Jeffreys' Theory of Probability revisited: a reply},
  journal={Statistical Science},
  year={2009},
  }

• M. Lerasle, “Adaptive density estimation for stationary processes,” Mathematical methods of statistics, 2009.
  [Bibtex]

  @article{lerasle:hal-00413692,
  author={Lerasle, Matthieu},
  title={Adaptive density estimation for stationary processes},
  journal={Mathematical Methods of Statistics},
  year={2009},
  }

• V. Patilea and L. Sardet, “The rule of thumb for smoothing with asymmetric kernels,” Annales de l’isup, 2009.
  [Bibtex]

  @article{patilea:hal-00458936,
  author={Patilea, Valentin and Sardet, Laure},
  title={The rule of thumb for smoothing with asymmetric kernels},
  journal={Annales de l'ISUP},
  year={2009},
  }

• O. Lopez and V. Patilea, “Nonparametric lack-of-fit tests for parametric mean-regression models with censored data,” Journal of multivariate analysis, 2009.
  [Bibtex]

  @article{lopez:hal-00268794,
  author={Lopez, Olivier and Patilea, Valentin},
  title={Nonparametric lack-of-fit tests for parametric mean-regression models with censored data},
  journal={Journal of Multivariate Analysis},
  year={2009},
  }

• P. Doukhan, N. Mayo, and L. Truquet, “Weak dependence, models and some applications,” Metrika, 2009.
  [Bibtex]

  @article{doukhan:hal-00457056,
  author={Doukhan, Paul and Mayo, Nathanael and Truquet, Lionel},
  title={Weak dependence, models and some applications},
  journal={Metrika},
  year={2009},
  }

• A. Juditsky, O. Lepski, and A. B. Tsybakov, “Nonparametric estimation of composite functions,” Annals of statistics, 2009.
  [Bibtex]

  @article{juditsky:hal-00148063,
  author={Juditsky, Anatoli and Lepski, Oleg and Tsybakov, Alexandre B.},
  title={Nonparametric estimation of composite functions},
  journal={Annals of Statistics},
  year={2009},
  }

• J. Bigot, F. Gamboa, and M. Vimond, “Estimation of translation, rotation, and scaling between noisy images using the fourier-mellin transform,” Siam journal on imaging sciences, 2009.
  [Bibtex]

  @article{bigot:hal-00776806,
  author={Bigot, Jeremie and Gamboa, Fabrice and Vimond, Myriam},
  title={Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier-Mellin Transform},
  journal={SIAM Journal on Imaging Sciences},
  year={2009},
  }

• J. -M. Aubry, C. Butucea, and K. Meziani, “State estimation in quantum homodyne tomography with noisy data,” Inverse problems, vol. 25, iss. 1, 2009.
  [Bibtex]

  @ARTICLE{Aubry2009,
  author={Aubry, J.-M. and Butucea, C. and Meziani, K.},
  title={State estimation in quantum homodyne tomography with noisy data},
  journal={Inverse Problems},
  year={2009},
  volume={25},
  number={1},
  doi={10.1088/0266-5611/25/1/015003},
  art_number={015003},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62649162297&doi=10.1088%2f0266-5611%2f25%2f1%2f015003&partnerID=40&md5=61bb67d0b0b68a2207daa6fd25d5cf71},
  document_type={Article},
  source={Scopus},
  }

• P. J. Bickel, Y. Ritov, and A. B. Tsybakov, “Simultaneous analysis of lasso and dantzig selector,” Annals of statistics, vol. 37, iss. 4, pp. 1705-1732, 2009.
  [Bibtex]

  @ARTICLE{Bickel20091705,
  author={Bickel, P.J. and Ritov, Y. and Tsybakov, A.B.},
  title={Simultaneous analysis of lasso and dantzig selector},
  journal={Annals of Statistics},
  year={2009},
  volume={37},
  number={4},
  pages={1705-1732},
  doi={10.1214/08-AOS620},
  note={cited By 997},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-68649086910&doi=10.1214%2f08-AOS620&partnerID=40&md5=b8ffcda43fe91ef6d82f928222d9b084},
  document_type={Article},
  source={Scopus},
  }

• J. Bigot, F. Gamboa, and M. Vimond, “Estimation of translation, rotation, and scaling between noisy images using the fourier-mellin transform,” Siam journal on imaging sciences, vol. 2, iss. 2, pp. 614-645, 2009.
  [Bibtex]

  @ARTICLE{Bigot2009614,
  author={Bigot, J. and Gamboa, F. and Vimond, M.},
  title={Estimation of translation, rotation, and scaling between noisy images using the fourier-mellin transform},
  journal={SIAM Journal on Imaging Sciences},
  year={2009},
  volume={2},
  number={2},
  pages={614-645},
  doi={10.1137/070691231},
  note={cited By 25},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016487272&doi=10.1137%2f070691231&partnerID=40&md5=e65cf769f2de3243f23f88c5b724a829},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and F. Comte, “Adaptive estimation of linear functionals in the convolution model and applications,” Bernoulli, vol. 15, iss. 1, pp. 69-98, 2009.
  [Bibtex]

  @ARTICLE{Butucea200969,
  author={Butucea, C. and Comte, F.},
  title={Adaptive estimation of linear functionals in the convolution model and applications},
  journal={Bernoulli},
  year={2009},
  volume={15},
  number={1},
  pages={69-98},
  doi={10.3150/08-BEJ146},
  note={cited By 23},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62749090971&doi=10.3150%2f08-BEJ146&partnerID=40&md5=ea527f9ead042e4212031d18cb0409ae},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, C. Matias, and C. Pouet, “Adaptive goodness-of-fit testing from indirect observations,” Annales de l’institut henri poincare (b) probability and statistics, vol. 45, iss. 2, pp. 352-372, 2009.
  [Bibtex]

  @ARTICLE{Butucea2009352,
  author={Butucea, C. and Matias, C. and Pouet, C.},
  title={Adaptive goodness-of-fit testing from indirect observations},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2009},
  volume={45},
  number={2},
  pages={352-372},
  doi={10.1214/08-AIHP166},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952036467&doi=10.1214%2f08-AIHP166&partnerID=40&md5=264d1842d82d764bc3f15d933022d7b6},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau and G. Lecue, “Adapting to unknown smoothness by aggregation of thresholded wavelet estimators,” Statistica sinica, vol. 19, iss. 4, pp. 1407-1417, 2009.
  [Bibtex]

  @ARTICLE{Chesneau2009AdaptingEstimators,
  author={Christophe Chesneau and Guillaume Lecue},
  title={Adapting to unknown smoothness by aggregation of thresholded wavelet estimators},
  journal={Statistica Sinica},
  year={2009},
  volume={19},
  number={4},
  pages={1407-1417},
  }

• C. Chesneau and G. Lecue, “Adapting to unknown smoothness by aggregation of thresholded wavelet estimators,” Statistica sinica, vol. 19, iss. 4, pp. 1407-1417, 2009.
  [Bibtex]

  @ARTICLE{Chesneau20091407,
  author={Chesneau, C. and Lecue, G.},
  title={Adapting to unknown smoothness by aggregation of thresholded wavelet estimators},
  journal={Statistica Sinica},
  year={2009},
  volume={19},
  number={4},
  pages={1407-1417},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-73249142261&partnerID=40&md5=b10775d0225e14cefcb3437b7cb3cdad},
  document_type={Article},
  source={Scopus},
  }

• P. Doukhan, N. Mayo, and L. Truquet, “Weak dependence, models and some applications,” Metrika, vol. 69, iss. 2-3, pp. 199-225, 2009.
  [Bibtex]

  @ARTICLE{Doukhan2009199,
  author={Doukhan, P. and Mayo, N. and Truquet, L.},
  title={Weak dependence, models and some applications},
  journal={Metrika},
  year={2009},
  volume={69},
  number={2-3},
  pages={199-225},
  doi={10.1007/s00184-008-0216-1},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-59549098608&doi=10.1007%2fs00184-008-0216-1&partnerID=40&md5=0306366a29b988a92835d76b9326dccf},
  document_type={Article},
  source={Scopus},
  }

• Y. I. Ingster, C. Pouet, and A. B. Tsybakov, “Classification of sparse high-dimensional vectors,” Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, vol. 367, iss. 1906, pp. 4427-4448, 2009.
  [Bibtex]

  @ARTICLE{Ingster20094427,
  author={Ingster, Y.I. and Pouet, C. and Tsybakov, A.B.},
  title={Classification of sparse high-dimensional vectors},
  journal={Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
  year={2009},
  volume={367},
  number={1906},
  pages={4427-4448},
  doi={10.1098/rsta.2009.0156},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-73349083663&doi=10.1098%2frsta.2009.0156&partnerID=40&md5=51466b2adcbc601568448e6c710ef83e},
  document_type={Article},
  source={Scopus},
  }

• A. B. Juditsky, O. V. Lepski, and A. B. Tsybakov, “Nonparametric estimation of composite functions1,” Annals of statistics, vol. 37, iss. 3, pp. 1360-1404, 2009.
  [Bibtex]

  @ARTICLE{Juditsky20091360,
  author={Juditsky, A.B. and Lepski, O.V. and Tsybakov, A.B.},
  title={Nonparametric estimation of composite functions1},
  journal={Annals of Statistics},
  year={2009},
  volume={37},
  number={3},
  pages={1360-1404},
  doi={10.1214/08-AOS611},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-68649090471&doi=10.1214%2f08-AOS611&partnerID=40&md5=30fcf2afefba9ebba4613bb6ec265666},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue and S. Mendelson, “Aggregation via empirical risk minimization,” Probability theory and related fields, vol. 145, iss. 4, pp. 591-613, 2009.
  [Bibtex]

  @ARTICLE{Lecue2009591,
  author={Lecue, G. and Mendelson, S.},
  title={Aggregation via empirical risk minimization},
  journal={Probability Theory and Related Fields},
  year={2009},
  volume={145},
  number={4},
  pages={591-613},
  doi={10.1007/s00440-008-0180-8},
  note={cited By 24},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350012166&doi=10.1007%2fs00440-008-0180-8&partnerID=40&md5=6f3e56ad3275cb61a8131c11e48abbf5},
  document_type={Article},
  source={Scopus},
  }

• M. Lerasle, “Adaptive density estimation of stationary î²-mixing and ï„-mixing processes,” Mathematical methods of statistics, vol. 18, iss. 1, pp. 59-83, 2009.
  [Bibtex]

  @ARTICLE{Lerasle200959,
  author={Lerasle, M.},
  title={Adaptive density estimation of stationary β-mixing and τ-mixing processes},
  journal={Mathematical Methods of Statistics},
  year={2009},
  volume={18},
  number={1},
  pages={59-83},
  doi={10.3103/S1066530709010049},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052855959&doi=10.3103%2fS1066530709010049&partnerID=40&md5=12c507f9a24190ce15b7d3b9897afecd},
  document_type={Article},
  source={Scopus},
  }

• O. Lopez and V. Patilea, “Nonparametric lack-of-fit tests for parametric mean-regression models with censored data,” Journal of multivariate analysis, vol. 100, iss. 1, pp. 210-230, 2009.
  [Bibtex]

  @ARTICLE{Lopez2009210,
  author={Lopez, O. and Patilea, V.},
  title={Nonparametric lack-of-fit tests for parametric mean-regression models with censored data},
  journal={Journal of Multivariate Analysis},
  year={2009},
  volume={100},
  number={1},
  pages={210-230},
  doi={10.1016/j.jmva.2008.04.008},
  note={cited By 13},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-55049088816&doi=10.1016%2fj.jmva.2008.04.008&partnerID=40&md5=96e44120fccd71e014753984f57a4648},
  document_type={Article},
  source={Scopus},
  }

• V. Perchet, “Calibration and internal no-regret with random signals,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 5809 LNAI, pp. 68-82, 2009.
  [Bibtex]

  @ARTICLE{Perchet200968,
  author={Perchet, V.},
  title={Calibration and internal no-regret with random signals},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2009},
  volume={5809 LNAI},
  pages={68-82},
  doi={10.1007/978-3-642-04414-4_10},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952069205&doi=10.1007%2f978-3-642-04414-4_10&partnerID=40&md5=13116f2cdea727641a1611d44b90aede},
  document_type={Conference Paper},
  source={Scopus},
  }

• C. P. Robert, N. Chopin, and J. Rousseau, “Harold jeffreys’s theory of probability revisited,” Statistical science, vol. 24, iss. 2, pp. 141-172, 2009.
  [Bibtex]

  @ARTICLE{Robert2009141,
  author={Robert, C.P. and Chopin, N. and Rousseau, J.},
  title={Harold Jeffreys's theory of probability revisited},
  journal={Statistical Science},
  year={2009},
  volume={24},
  number={2},
  pages={141-172},
  doi={10.1214/09-STS284},
  note={cited By 63},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955125911&doi=10.1214%2f09-STS284&partnerID=40&md5=99b149c49998619659c3edf9995d63a2},
  document_type={Article},
  source={Scopus},
  }

• C. P. Robert, N. Chopin, and J. Rousseau, “Rejoinder: harold jeffreys’s theory of probability revisited,” Statistical science, vol. 24, iss. 2, pp. 191-194, 2009.
  [Bibtex]

  @ARTICLE{Robert2009191,
  author={Robert, C.P. and Chopin, N. and Rousseau, J.},
  title={Rejoinder: Harold Jeffreys's theory of probability revisited},
  journal={Statistical Science},
  year={2009},
  volume={24},
  number={2},
  pages={191-194},
  doi={10.1214/09-STS284REJ},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955137079&doi=10.1214%2f09-STS284REJ&partnerID=40&md5=de5f5deb12cc0822e852fec52b5cb610},
  document_type={Article},
  source={Scopus},
  }

• H. Rue, S. Martino, and N. Chopin, “Approximate bayesian inference for latent gaussian models by using integrated nested laplace approximations,” Journal of the royal statistical society. series b: statistical methodology, vol. 71, iss. 2, pp. 319-392, 2009.
  [Bibtex]

  @ARTICLE{Rue2009319,
  author={Rue, H. and Martino, S. and Chopin, N.},
  title={Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2009},
  volume={71},
  number={2},
  pages={319-392},
  doi={10.1111/j.1467-9868.2008.00700.x},
  note={cited By 1820},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-62849120031&doi=10.1111%2fj.1467-9868.2008.00700.x&partnerID=40&md5=323b4a68ce12047755c205e0ffb2a6cf},
  document_type={Article},
  source={Scopus},
  }

2008

• A. B. Tsybakov, Introduction to nonparametric estimation, Springer science & business media, 2008.
  [Bibtex]

  @book{tsybakov2008introduction,
  title={Introduction to nonparametric estimation},
  author={Tsybakov, Alexandre B},
  year={2008},
  publisher={Springer Science & Business Media},
  }

• C. Butucea, C. Matias, and C. Pouet, “Adaptivity in convolution models with partially known noise distribution,” Electronic journal of statistics, 2008.
  [Bibtex]

  @article{butucea:hal-00592227,
  author={Butucea, Cristina and Matias, Catherine and Pouet, Christophe},
  title={Adaptivity in convolution models with partially known noise distribution},
  journal={Electronic Journal of Statistics},
  year={2008},
  }

• C. Butucea and M. Taupin, “New m-estimators in semiparametric regression with errors in variables,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2008.
  [Bibtex]

  @article{butucea:hal-00013229,
  author={Butucea, Cristina and Taupin, Marie-Luce},
  title={New M-estimators in semiparametric regression with errors in variables},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2008},
  }

• N. Chopin, “On the equivalence between standard and sequentially ordered hidden markov models,” Statistics and probability letters, 2008.
  [Bibtex]

  @article{chopin:hal-02403326,
  author={Chopin, Nicolas},
  title={On the equivalence between standard and sequentially ordered hidden Markov models},
  journal={Statistics and Probability Letters},
  year={2008},
  }

• M. Delecroix, O. Lopez, and V. Patilea, “Nonlinear censored regression using synthetic data,” Scandinavian journal of statistics, 2008.
  [Bibtex]

  @article{delecroix:hal-00361261,
  author={Delecroix, Michel and Lopez, Olivier and Patilea, Valentin},
  title={Nonlinear censored regression using synthetic data},
  journal={Scandinavian Journal of Statistics},
  year={2008},
  }

• P. Lavergne and V. Patilea, “Breaking the curse of dimensionality in nonparametric testing,” Econometrics, 2008.
  [Bibtex]

  @article{lavergne:hal-00377898,
  author={Lavergne, Pascal and Patilea, Valentin},
  title={Breaking the curse of dimensionality in nonparametric testing},
  journal={Econometrics},
  year={2008},
  }

• A. S. Dalalyan and A. Tsybakov, “Aggregation by exponential weighting, sharp pac-bayesian bounds and sparsity,” Machine learning, 2008.
  [Bibtex]

  @article{dalalyan:hal-00265651,
  author={Dalalyan, Arnak S. and Tsybakov, Alexandre},
  title={Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity},
  journal={Machine Learning},
  year={2008},
  }

• A. Goldenshluger, A. Juditsky, A. B. Tsybakov, and A. Zeevi, “Change-point estimation from indirect observations. 2. adaptation,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2008.
  [Bibtex]

  @article{goldenshluger:hal-00340270,
  author={Goldenshluger, Alexander and Juditsky, Anatoli and Tsybakov, Alexandre B. and Zeevi, Assaf},
  title={Change-point estimation from indirect observations. 2. Adaptation},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2008},
  }

• A. Goldenshluger, A. Juditsky, A. B. Tsybakov, and A. Zeevi, “Change-point estimation from indirect observations. 1. minimax complexity,” Annales de l’institut henri poincare (b) probabilites et statistiques, 2008.
  [Bibtex]

  @article{goldenshluger:hal-00340269,
  author={Goldenshluger, Alexander and Juditsky, Anatoli and Tsybakov, Alexandre B. and Zeevi, Assaf},
  title={Change-point estimation from indirect observations. 1. Minimax complexity},
  journal={Annales de l'Institut Henri Poincare (B) Probabilites et Statistiques},
  year={2008},
  }

• K. Bertin and G. Lecue, “Selection of variables and dimension reduction in high-dimensional non-parametric regression,” Electronic journal of statistics, vol. 2, pp. 1224-1241, 2008.
  [Bibtex]

  @ARTICLE{Bertin20081224,
  author={Bertin, K. and Lecue, G.},
  title={Selection of variables and dimension reduction in high-dimensional non-parametric regression},
  journal={Electronic Journal of Statistics},
  year={2008},
  volume={2},
  pages={1224-1241},
  doi={10.1214/08-EJS327},
  note={cited By 21},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-79954629336&doi=10.1214%2f08-EJS327&partnerID=40&md5=4938db43a6aec32060e824179db727b5},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and M. -L. Taupin, “New m-estimators in semi-parametric regression with errors in variables,” Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 3, pp. 393-421, 2008.
  [Bibtex]

  @ARTICLE{Butucea2008393,
  author={Butucea, C. and Taupin, M.-L.},
  title={New M-estimators in semi-parametric regression with errors in variables},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2008},
  volume={44},
  number={3},
  pages={393-421},
  doi={10.1214/07-AIHP107},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951831051&doi=10.1214%2f07-AIHP107&partnerID=40&md5=83d4e0aac87e338ffd33f024fa5b18e0},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, C. Matias, and C. Pouet, “Adaptivity in convolution models with partially known noise distribution,” Electronic journal of statistics, vol. 2, pp. 897-915, 2008.
  [Bibtex]

  @ARTICLE{Butucea2008897,
  author={Butucea, C. and Matias, C. and Pouet, C.},
  title={Adaptivity in convolution models with partially known noise distribution},
  journal={Electronic Journal of Statistics},
  year={2008},
  volume={2},
  pages={897-915},
  doi={10.1214/08-EJS225},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015520340&doi=10.1214%2f08-EJS225&partnerID=40&md5=0618ffb438f8a25aa50987ee97e25f99},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and A. B. Tsybakov, “Sharp optimality in density deconvolution with dominating bias. ii,” Theory of probability and its applications, vol. 52, iss. 2, pp. 237-249, 2008.
  [Bibtex]

  @ARTICLE{Butucea2008237,
  author={Butucea, C. and Tsybakov, A.B.},
  title={Sharp optimality in density deconvolution with dominating bias. II},
  journal={Theory of Probability and its Applications},
  year={2008},
  volume={52},
  number={2},
  pages={237-249},
  doi={10.1137/S0040585X97982992},
  note={cited By 30},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47849090751&doi=10.1137%2fS0040585X97982992&partnerID=40&md5=718136cd006e9cfe93f7823b59762034},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and A. B. Tsybakov, “Sharp optimality in density deconvolution with dominating bias. i,” Theory of probability and its applications, vol. 52, iss. 1, pp. 24-39, 2008.
  [Bibtex]

  @ARTICLE{Butucea200824,
  author={Butucea, C. and Tsybakov, A.B.},
  title={Sharp optimality in density deconvolution with dominating bias. I},
  journal={Theory of Probability and its Applications},
  year={2008},
  volume={52},
  number={1},
  pages={24-39},
  doi={10.1137/S0040585X97982840},
  note={cited By 27},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42549171048&doi=10.1137%2fS0040585X97982840&partnerID=40&md5=8a4cdf907b251b9add6725d26904b8a7},
  document_type={Article},
  source={Scopus},
  }

• D. Bohning and V. Patilea, “A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only,” Journal of the american statistical association, vol. 103, iss. 481, pp. 212-221, 2008.
  [Bibtex]

  @ARTICLE{Bohning2008212,
  author={Bohning, D. and Patilea, V.},
  title={A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only},
  journal={Journal of the American Statistical Association},
  year={2008},
  volume={103},
  number={481},
  pages={212-221},
  doi={10.1198/016214507000000383},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42349101163&doi=10.1198%2f016214507000000383&partnerID=40&md5=9acbe085d073161989d13d73983ebd2f},
  document_type={Article},
  source={Scopus},
  }

• C. Chesneau and M. Hebiri, “Some theoretical results on the grouped variables lasso,” Mathematical methods of statistics, vol. 17, iss. 4, pp. 317-326, 2008.
  [Bibtex]

  @ARTICLE{Chesneau2008317,
  author={Chesneau, C. and Hebiri, M.},
  title={Some theoretical results on the Grouped Variables Lasso},
  journal={Mathematical Methods of Statistics},
  year={2008},
  volume={17},
  number={4},
  pages={317-326},
  doi={10.3103/S1066530708040030},
  note={cited By 29},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952566605&doi=10.3103%2fS1066530708040030&partnerID=40&md5=1dc200b18d99793790eb53c8cf90e91e},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, “On the equivalence between standard and sequentially ordered hidden markov models,” Statistics and probability letters, vol. 78, iss. 14, pp. 2171-2174, 2008.
  [Bibtex]

  @ARTICLE{Chopin20082171,
  author={Chopin, N.},
  title={On the equivalence between standard and sequentially ordered hidden Markov models},
  journal={Statistics and Probability Letters},
  year={2008},
  volume={78},
  number={14},
  pages={2171-2174},
  doi={10.1016/j.spl.2008.02.010},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50649099252&doi=10.1016%2fj.spl.2008.02.010&partnerID=40&md5=f7528913b654aa24574ce1c9bd4d9e7d},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, A. Juditsky, and V. Spokoiny, “A new algorithm for estimating the effective dimension-reduction subspace,” Journal of machine learning research, vol. 9, iss. None, pp. 1647-1678, 2008.
  [Bibtex]

  @ARTICLE{Dalalyan2008ASubspace,
  author={Arnak S. Dalalyan and Anatoly Juditsky and Vladimir Spokoiny},
  title={A new algorithm for estimating the effective dimension-reduction subspace},
  journal={Journal of Machine Learning Research},
  year={2008},
  volume={9},
  number={None},
  pages={1647-1678},
  }

• A. S. Dalalyan, A. Juditsky, and V. Spokoiny, “A new algorithm for estimating the effective dimension-reduction subspace,” Journal of machine learning research, vol. 9, pp. 1647-1678, 2008.
  [Bibtex]

  @ARTICLE{Dalalyan20081647,
  author={Dalalyan, A.S. and Juditsky, A. and Spokoiny, V.},
  title={A new algorithm for estimating the effective dimension-reduction subspace},
  journal={Journal of Machine Learning Research},
  year={2008},
  volume={9},
  pages={1647-1678},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50949115024&partnerID=40&md5=63289e980d16039cc652c9a493a75198},
  document_type={Article},
  source={Scopus},
  }

• A. Dalalyan and A. B. Tsybakov, “Aggregation by exponential weighting, sharp pac-bayesian bounds and sparsity,” Machine learning, vol. 72, iss. 1-2, pp. 39-61, 2008.
  [Bibtex]

  @ARTICLE{Dalalyan200839,
  author={Dalalyan, A. and Tsybakov, A.B.},
  title={Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity},
  journal={Machine Learning},
  year={2008},
  volume={72},
  number={1-2},
  pages={39-61},
  doi={10.1007/s10994-008-5051-0},
  note={cited By 87},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350003059&doi=10.1007%2fs10994-008-5051-0&partnerID=40&md5=ba9105a1d855f79f8ef6e36206097ca8},
  document_type={Article},
  source={Scopus},
  }

• M. Delecroix, O. Lopez, and V. Patilea, “Nonlinear censored regression using synthetic data,” Scandinavian journal of statistics, vol. 35, iss. 2, pp. 248-265, 2008.
  [Bibtex]

  @ARTICLE{Delecroix2008248,
  author={Delecroix, M. and Lopez, O. and Patilea, V.},
  title={Nonlinear censored regression using synthetic data},
  journal={Scandinavian Journal of Statistics},
  year={2008},
  volume={35},
  number={2},
  pages={248-265},
  doi={10.1111/j.1467-9469.2007.00591.x},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-43749085078&doi=10.1111%2fj.1467-9469.2007.00591.x&partnerID=40&md5=b51f1024a1e7f7aefe1b1f35da0cdffe},
  document_type={Article},
  source={Scopus},
  }

• R. Gaudel, M. Sebag, and A. Cornuejols, “A phase transition-based perspective on multiple instance kernels,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4894 LNAI, pp. 112-121, 2008.
  [Bibtex]

  @ARTICLE{Gaudel2008112,
  author={Gaudel, R. and Sebag, M. and Cornuejols, A.},
  title={A phase transition-based perspective on multiple instance kernels},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2008},
  volume={4894 LNAI},
  pages={112-121},
  doi={10.1007/978-3-540-78469-2_14},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-40249107594&doi=10.1007%2f978-3-540-78469-2_14&partnerID=40&md5=30ff90ec3229843d46653cd677e06256},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Goldenshluger, A. Juditsky, A. B. Tsybakov, and A. Zeevi, “Change-point estimation from indirect observations. 1. minimax complexity,” Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 5, pp. 787-818, 2008.
  [Bibtex]

  @ARTICLE{Goldenshluger2008787,
  author={Goldenshluger, A. and Juditsky, A. and Tsybakov, A.B. and Zeevi, A.},
  title={Change-point estimation from indirect observations. 1. Minimax complexity},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2008},
  volume={44},
  number={5},
  pages={787-818},
  doi={10.1214/07-AIHP110},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951843654&doi=10.1214%2f07-AIHP110&partnerID=40&md5=d1d4e25d585ba88c2cb5f9ec2fa9fdc8},
  document_type={Article},
  source={Scopus},
  }

• A. Goldenshluger, A. Juditsky, A. Tsybakov, and A. Zeevi, “Change-point estimation from indirect observations. 2. adaptation,” Annales de l’institut henri poincare (b) probability and statistics, vol. 44, iss. 5, pp. 819-836, 2008.
  [Bibtex]

  @ARTICLE{Goldenshluger2008819,
  author={Goldenshluger, A. and Juditsky, A. and Tsybakov, A. and Zeevi, A.},
  title={Change-point estimation from indirect observations. 2. Adaptation},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2008},
  volume={44},
  number={5},
  pages={819-836},
  doi={10.1214/07-AIHP144},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951835117&doi=10.1214%2f07-AIHP144&partnerID=40&md5=5b35b8a789c9d14542b90e35907e5e74},
  document_type={Article},
  source={Scopus},
  }

• A. Juditsky, P. Rigollet, and A. B. Tsybakov, “Learning by mirror averaging,” Annals of statistics, vol. 36, iss. 5, pp. 2183-2206, 2008.
  [Bibtex]

  @ARTICLE{Juditsky20082183,
  author={Juditsky, A. and Rigollet, P. and Tsybakov, A.B.},
  title={Learning by mirror averaging},
  journal={Annals of Statistics},
  year={2008},
  volume={36},
  number={5},
  pages={2183-2206},
  doi={10.1214/07-AOS546},
  note={cited By 61},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-54349121305&doi=10.1214%2f07-AOS546&partnerID=40&md5=25893181df32b1d67936ffe7cb4c5b16},
  document_type={Article},
  source={Scopus},
  }

• D. Karlis and V. Patilea, “Bootstrap confidence intervals in mixtures of discrete distributions,” Journal of statistical planning and inference, vol. 138, iss. 8, pp. 2313-2329, 2008.
  [Bibtex]

  @ARTICLE{Karlis20082313,
  author={Karlis, D. and Patilea, V.},
  title={Bootstrap confidence intervals in mixtures of discrete distributions},
  journal={Journal of Statistical Planning and Inference},
  year={2008},
  volume={138},
  number={8},
  pages={2313-2329},
  doi={10.1016/j.jspi.2007.10.026},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-42149187860&doi=10.1016%2fj.jspi.2007.10.026&partnerID=40&md5=1edf48d264070b3cb2125b3eececb46e},
  document_type={Article},
  source={Scopus},
  }

• P. Lavergne and V. Patilea, “Breaking the curse of dimensionality in nonparametric testing,” Journal of econometrics, vol. 143, iss. 1, pp. 103-122, 2008.
  [Bibtex]

  @ARTICLE{Lavergne2008103,
  author={Lavergne, P. and Patilea, V.},
  title={Breaking the curse of dimensionality in nonparametric testing},
  journal={Journal of Econometrics},
  year={2008},
  volume={143},
  number={1},
  pages={103-122},
  doi={10.1016/j.jeconom.2007.08.014},
  note={cited By 33},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38149019298&doi=10.1016%2fj.jeconom.2007.08.014&partnerID=40&md5=8d2a04a6b599442626f4b96cfdc4cda1},
  document_type={Article},
  source={Scopus},
  }

2007

• N. Chopin, “Inference and model choice for sequentially ordered hidden markov models,” Journal of the royal statistical society: series b, 2007.
  [Bibtex]

  @article{chopin:hal-02403330,
  author={Chopin, Nicolas},
  title={Inference and model choice for sequentially ordered hidden Markov models},
  journal={Journal of the Royal Statistical Society: Series B},
  year={2007},
  }

• N. Chopin and E. Varini, “Particle filtering for continuous-time hidden markov models,” Esaim: proceedings, 2007.
  [Bibtex]

  @article{chopin:hal-02403332,
  author={Chopin, Nicolas and Varini, Elisa},
  title={Particle filtering for continuous-time hidden Markov models},
  journal={ESAIM: Proceedings},
  year={2007},
  }

• N. Chopin, “Dynamic detection of change points in long time series,” Annals of the institute of statistical mathematics, 2007.
  [Bibtex]

  @article{chopin:hal-02403329,
  author={Chopin, Nicolas},
  title={Dynamic Detection of Change Points in Long Time Series},
  journal={Annals of the Institute of Statistical Mathematics},
  year={2007},
  }

• V. Patilea, “Semiparametric regression models with applications to scoring: a review,” Communications in statistics – theory and methods, 2007.
  [Bibtex]

  @article{patilea:hal-00458955,
  author={Patilea, Valentin},
  title={Semiparametric regression models with applications to scoring: A review},
  journal={Communications in Statistics - Theory and Methods},
  year={2007},
  }

• D. Karlis and V. Patilea, “Confidence intervals of the hazard rate function for discrete distributions using mixtures,” Computational statistics and data analysis, 2007.
  [Bibtex]

  @article{karlis:hal-00458940,
  author={Karlis, Dimitris and Patilea, Valentin},
  title={Confidence intervals of the hazard rate function for discrete distributions using mixtures},
  journal={Computational Statistics and Data Analysis},
  year={2007},
  }

• D. Bohning, W. Seidel, M. Alfo, B. Garel, V. Patilea, and G. Walther, “Advances in mixture models,” Computational statistics and data analysis, 2007.
  [Bibtex]

  @article{bohning:hal-00458949,
  author={Bohning, Dankmar and Seidel, Wilfried and Alfo, Marco and Garel, Bernard and Patilea, Valentin and Walther, Gunther},
  title={Advances in mixture models},
  journal={Computational Statistics and Data Analysis},
  year={2007},
  }

• P. Doukhan and L. Truquet, “Weakly dependent random fields with infinite interactions – paru sous le titre ”a fixed point approach to model random fields”,” Alea : latin american journal of probability and mathematical statistics, 2007.
  [Bibtex]

  @article{doukhan:hal-00141713,
  author={Doukhan, Paul and Truquet, Lionel},
  title={Weakly dependent random fields with infinite interactions - paru sous le titre ''A fixed point approach to model random fields''},
  journal={ALEA : Latin American Journal of Probability and Mathematical Statistics},
  year={2007},
  }

• J. -Y. Audibert and A. B. Tsybakov, “Fast learning rates for plug-in classifiers,” Annals of statistics, vol. 35, iss. 2, pp. 608-633, 2007.
  [Bibtex]

  @ARTICLE{Audibert2007608,
  author={Audibert, J.-Y. and Tsybakov, A.B.},
  title={Fast learning rates for plug-in classifiers},
  journal={Annals of Statistics},
  year={2007},
  volume={35},
  number={2},
  pages={608-633},
  doi={10.1214/009053606000001217},
  note={cited By 136},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547706430&doi=10.1214%2f009053606000001217&partnerID=40&md5=5f90d03542d3b6a3261e076b11fb4a2a},
  document_type={Article},
  source={Scopus},
  }

• F. Bunea, A. Tsybakov, and M. Wegkamp, “Sparsity oracle inequalities for the lasso,” Electronic journal of statistics, vol. 1, pp. 169-194, 2007.
  [Bibtex]

  @ARTICLE{Bunea2007169,
  author={Bunea, F. and Tsybakov, A. and Wegkamp, M.},
  title={Sparsity oracle inequalities for the Lasso},
  journal={Electronic Journal of Statistics},
  year={2007},
  volume={1},
  pages={169-194},
  doi={10.1214/07-EJS008},
  note={cited By 210},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-50849114939&doi=10.1214%2f07-EJS008&partnerID=40&md5=d0bdfc1f465c87700286524055d37dd6},
  document_type={Article},
  source={Scopus},
  }

• F. Bunea, A. B. Tsybakov, and M. H. Wegkamp, “Sparse density estimation with â„“1 penalties,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 530-543, 2007.
  [Bibtex]

  @ARTICLE{Bunea2007530,
  author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H.},
  title={Sparse density estimation with â„“1 penalties},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2007},
  volume={4539 LNAI},
  pages={530-543},
  doi={10.1007/978-3-540-72927-3_38},
  note={cited By 24},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049008576&doi=10.1007%2f978-3-540-72927-3_38&partnerID=40&md5=a473a52e6bce7f58dbbebcb99f2c134a},
  document_type={Conference Paper},
  source={Scopus},
  }

• C. Butucea, “Goodness-of-fit testing and quadratic functional estimation from indirect observations,” Annals of statistics, vol. 35, iss. 5, pp. 1907-1930, 2007.
  [Bibtex]

  @ARTICLE{Butucea20071907,
  author={Butucea, C.},
  title={Goodness-of-fit testing and quadratic functional estimation from indirect observations},
  journal={Annals of Statistics},
  year={2007},
  volume={35},
  number={5},
  pages={1907-1930},
  doi={10.1214/009053607000000118},
  note={cited By 31},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-41449118443&doi=10.1214%2f009053607000000118&partnerID=40&md5=6242433f8609017fa7be414a6f11f3f2},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. Gue, and L. Artiles, “Minimax and adaptive estimation of the wigner function in quantum homodyne tomography with noisy data,” Annals of statistics, vol. 35, iss. 2, pp. 465-494, 2007.
  [Bibtex]

  @ARTICLE{Butucea2007465,
  author={Butucea, C. and Gue, M. and Artiles, L.},
  title={Minimax and adaptive estimation of the wigner function in quantum homodyne tomography with noisy data},
  journal={Annals of Statistics},
  year={2007},
  volume={35},
  number={2},
  pages={465-494},
  doi={10.1214/009053606000001488},
  note={cited By 30},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38849107677&doi=10.1214%2f009053606000001488&partnerID=40&md5=88fc68dd53d325d8b2ca676988cd43d4},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, M. Mougeot, and K. Tribouley, “Functional approach for excess mass estimation in the density model,” Electronic journal of statistics, vol. 1, pp. 449-472, 2007.
  [Bibtex]

  @ARTICLE{Butucea2007449,
  author={Butucea, C. and Mougeot, M. and Tribouley, K.},
  title={Functional approach for excess mass estimation in the density model},
  journal={Electronic Journal of Statistics},
  year={2007},
  volume={1},
  pages={449-472},
  doi={10.1214/07-EJS079},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035257616&doi=10.1214%2f07-EJS079&partnerID=40&md5=53f3a688e4d44185d2c15a736183814d},
  document_type={Article},
  source={Scopus},
  }

• D. Bohning, W. Seidel, M. Alfó, B. Garel, V. Patilea, and G. Walther, “Advances in mixture models,” Computational statistics and data analysis, vol. 51, iss. 11, pp. 5205-5210, 2007.
  [Bibtex]

  @EDITORIAL{Bohning20075205,
  author={Bohning, D. and Seidel, W. and Alfó, M. and Garel, B. and Patilea, V. and Walther, G.},
  title={Advances in Mixture Models},
  journal={Computational Statistics and Data Analysis},
  year={2007},
  volume={51},
  number={11},
  pages={5205-5210},
  doi={10.1016/j.csda.2006.10.025},
  note={cited By 30},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34248221457&doi=10.1016%2fj.csda.2006.10.025&partnerID=40&md5=a9790c81d11295fc8b420a27e7a5b6af},
  document_type={Editorial},
  source={Scopus},
  }

• N. Chopin, “Dynamic detection of change points in long time series,” Annals of the institute of statistical mathematics, vol. 59, iss. 2, pp. 349-366, 2007.
  [Bibtex]

  @ARTICLE{Chopin2007349,
  author={Chopin, N.},
  title={Dynamic detection of change points in long time series},
  journal={Annals of the Institute of Statistical Mathematics},
  year={2007},
  volume={59},
  number={2},
  pages={349-366},
  doi={10.1007/s10463-006-0053-9},
  note={cited By 35},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847358600&doi=10.1007%2fs10463-006-0053-9&partnerID=40&md5=4a7551c9f49912dd157cf19309912730},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, “Inference and model choice for sequentially ordered hidden markov models,” Journal of the royal statistical society. series b: statistical methodology, vol. 69, iss. 2, pp. 269-284, 2007.
  [Bibtex]

  @ARTICLE{Chopin2007269,
  author={Chopin, N.},
  title={Inference and model choice for sequentially ordered hidden Markov models},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2007},
  volume={69},
  number={2},
  pages={269-284},
  doi={10.1111/j.1467-9868.2007.00588.x},
  note={cited By 23},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33847367249&doi=10.1111%2fj.1467-9868.2007.00588.x&partnerID=40&md5=17ccbb72314e28f259dde9236494c3e0},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, “Stein shrinkage and second-order efficiency for semiparametric estimation of the shift,” Mathematical methods of statistics, vol. 16, iss. 1, pp. 42-62, 2007.
  [Bibtex]

  @ARTICLE{Dalalyan200742,
  author={Dalalyan, A.S.},
  title={Stein shrinkage and second-order efficiency for semiparametric estimation of the shift},
  journal={Mathematical Methods of Statistics},
  year={2007},
  volume={16},
  number={1},
  pages={42-62},
  doi={10.3103/S1066530707010048},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249146246&doi=10.3103%2fS1066530707010048&partnerID=40&md5=840b41be5c496bdf7b59be59d2d6c337},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan and A. B. Tsybakov, “Aggregation by exponential weighting and sharp oracle inequalities,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 97-111, 2007.
  [Bibtex]

  @ARTICLE{Dalalyan200797,
  author={Dalalyan, A.S. and Tsybakov, A.B.},
  title={Aggregation by exponential weighting and sharp oracle inequalities},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2007},
  volume={4539 LNAI},
  pages={97-111},
  doi={10.1007/978-3-540-72927-3_9},
  note={cited By 57},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049046503&doi=10.1007%2f978-3-540-72927-3_9&partnerID=40&md5=e66c7086015356b4b2ea9c225c35d7cb},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Dalalyan and M. Reiß, “Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case,” Probability theory and related fields, vol. 137, iss. 1-2, pp. 25-47, 2007.
  [Bibtex]

  @ARTICLE{Dalalyan200725,
  author={Dalalyan, A. and Reiß, M.},
  title={Asymptotic statistical equivalence for ergodic diffusions: The multidimensional case},
  journal={Probability Theory and Related Fields},
  year={2007},
  volume={137},
  number={1-2},
  pages={25-47},
  doi={10.1007/s00440-006-0502-7},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33846867045&doi=10.1007%2fs00440-006-0502-7&partnerID=40&md5=747fabf7ebfa67a71858906e393a8b2e},
  document_type={Review},
  source={Scopus},
  }

• S. Gaiffas and G. Lecue, “Optimal rates and adaptation in the single-index model using aggregation,” Electronic journal of statistics, vol. 1, pp. 538-573, 2007.
  [Bibtex]

  @ARTICLE{Gaiffas2007538,
  author={Gaiffas, S. and Lecue, G.},
  title={Optimal rates and adaptation in the single-index model using aggregation},
  journal={Electronic Journal of Statistics},
  year={2007},
  volume={1},
  pages={538-573},
  doi={10.1214/07-EJS077},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350021658&doi=10.1214%2f07-EJS077&partnerID=40&md5=95a8df2760e408975d6a6b57171f6394},
  document_type={Article},
  source={Scopus},
  }

• D. Karlis and V. Patilea, “Confidence intervals of the hazard rate function for discrete distributions using mixtures,” Computational statistics and data analysis, vol. 51, iss. 11, pp. 5388-5401, 2007.
  [Bibtex]

  @ARTICLE{Karlis20075388,
  author={Karlis, D. and Patilea, V.},
  title={Confidence intervals of the hazard rate function for discrete distributions using mixtures},
  journal={Computational Statistics and Data Analysis},
  year={2007},
  volume={51},
  number={11},
  pages={5388-5401},
  doi={10.1016/j.csda.2006.07.037},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34247850823&doi=10.1016%2fj.csda.2006.07.037&partnerID=40&md5=a792caab42e6b057a8ebee70913d7a06},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, “Optimal rates of aggregation in classification under low noise assumption,” Bernoulli, vol. 13, iss. 4, pp. 1000-1022, 2007.
  [Bibtex]

  @ARTICLE{Lecue20071000,
  author={Lecue, G.},
  title={Optimal rates of aggregation in classification under low noise assumption},
  journal={Bernoulli},
  year={2007},
  volume={13},
  number={4},
  pages={1000-1022},
  doi={10.3150/07-BEJ6044},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249139879&doi=10.3150%2f07-BEJ6044&partnerID=40&md5=a837832d284c4d989d2a4fcb03cad4a4},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, “Simultaneous adaptation to the margin and to complexity in classification,” Annals of statistics, vol. 35, iss. 4, pp. 1698-1721, 2007.
  [Bibtex]

  @ARTICLE{Lecue20071698,
  author={Lecue, G.},
  title={Simultaneous adaptation to the margin and to complexity in classification},
  journal={Annals of Statistics},
  year={2007},
  volume={35},
  number={4},
  pages={1698-1721},
  doi={10.1214/009053607000000055},
  note={cited By 19},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-48849097549&doi=10.1214%2f009053607000000055&partnerID=40&md5=5d8b6171be86fd2fbaa844e25e5cf948},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, “Suboptimality of penalized empirical risk minimization in classification,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4539 LNAI, pp. 142-156, 2007.
  [Bibtex]

  @ARTICLE{Lecue2007142,
  author={Lecue, G.},
  title={Suboptimality of penalized empirical risk minimization in classification},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2007},
  volume={4539 LNAI},
  pages={142-156},
  doi={10.1007/978-3-540-72927-3_12},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049026180&doi=10.1007%2f978-3-540-72927-3_12&partnerID=40&md5=7fd781d9856ac5febcc9a11a92da9a4b},
  document_type={Conference Paper},
  source={Scopus},
  }

• V. Patilea, “Semiparametric regression models with applications to scoring: a review,” Communications in statistics – theory and methods, vol. 36, iss. 14, pp. 2641-2653, 2007.
  [Bibtex]

  @ARTICLE{Patilea20072641,
  author={Patilea, V.},
  title={Semiparametric regression models with applications to scoring: A review},
  journal={Communications in Statistics - Theory and Methods},
  year={2007},
  volume={36},
  number={14},
  pages={2641-2653},
  doi={10.1080/03610920701271186},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-35348904535&doi=10.1080%2f03610920701271186&partnerID=40&md5=d68e3d36f0c8b903af1b0f31875577a7},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Penttinen, M. Prokesovia, G. Hellmund, A. Baddeley, J. -M. Billiot, N. Cressie, P. Grabarnik, A. S̈arkk̈a, Y. Guan, P. Guttorp, O. Ḧaggstr̈om, U. Hahn, L. Heinrich, W. S. Kendall, A. Lawson, J. Mateu, H. Rue, S. Martino, N. Chopin, F. P. Schoenberg, D. Stoyan, J. Møller, and R. P. Waagepetersen, “Discussion of ‘modern statistics for spatial point processes’,” Scandinavian journal of statistics, vol. 34, iss. 4, pp. 685-711, 2007.
  [Bibtex]

  @ARTICLE{Penttinen2007685,
  author={Penttinen, A. and Prokesovia, M. and Hellmund, G. and Baddeley, A. and Billiot, J.-M. and Cressie, N. and Grabarnik, P. and S̈arkk̈a, A. and Guan, Y. and Guttorp, P. and Ḧaggstr̈om, O. and Hahn, U. and Heinrich, L. and Kendall, W.S. and Lawson, A. and Mateu, J. and Rue, H. and Martino, S. and Chopin, N. and Schoenberg, F.P. and Stoyan, D. and Møller, J. and Waagepetersen, R.P.},
  title={Discussion of 'modern statistics for spatial point processes'},
  journal={Scandinavian Journal of Statistics},
  year={2007},
  volume={34},
  number={4},
  pages={685-711},
  doi={10.1111/j.1467-9469.2007.00571.x},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-36749030084&doi=10.1111%2fj.1467-9469.2007.00571.x&partnerID=40&md5=61b89b45f299708179875e492f93c4a0},
  document_type={Article},
  source={Scopus},
  }

• P. Rigollet and A. B. Tsybakov, “Linear and convex aggregation of density estimators,” Mathematical methods of statistics, vol. 16, iss. 3, pp. 260-280, 2007.
  [Bibtex]

  @ARTICLE{Rigollet2007260,
  author={Rigollet, P. and Tsybakov, A.B.},
  title={Linear and convex aggregation of density estimators},
  journal={Mathematical Methods of Statistics},
  year={2007},
  volume={16},
  number={3},
  pages={260-280},
  doi={10.3103/S1066530707030052},
  note={cited By 46},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955137685&doi=10.3103%2fS1066530707030052&partnerID=40&md5=c7eacac920b121ece0322de050703541},
  document_type={Article},
  source={Scopus},
  }

2006

• V. Patilea and J. Rolin, “Product-limit estimators of the survival function for two modified forms of current-status data,” Bernoulli, 2006.
  [Bibtex]

  @article{patilea:hal-00458943,
  author={Patilea, Valentin and Rolin, Jean-Marie},
  title={Product-limit estimators of the survival function for two modified forms of current-status data},
  journal={Bernoulli},
  year={2006},
  }

• V. Patilea and J. Rolin, “Product-limit estimators of the survival function with twice censored data,” Annals of statistics, 2006.
  [Bibtex]

  @article{patilea:hal-00458958,
  author={Patilea, Valentin and Rolin, Jean-Marie},
  title={Product-limit estimators of the survival function with twice censored data},
  journal={Annals of Statistics},
  year={2006},
  }

• M. Delecroix, M. Hristache, and V. Patilea, “On semiparametric m-estimation in single-index regression,” Journal of statistical planning and inference, 2006.
  [Bibtex]

  @article{delecroix:hal-00458962,
  author={Delecroix, Michel and Hristache, M. and Patilea, Valentin},
  title={On semiparametric M-estimation in single-index regression},
  journal={Journal of Statistical Planning and Inference},
  year={2006},
  }

• P. L. Bartlett, S. Mendelson, G. Blanchard, P. Massart, S. Clemençon, G. Lugosi, N. Vayatis, S. Xiaotong, W. Lifeng, A. B. Tsybakov, S. Van De Geer, and V. Koltchinskii, “Discussion: local rademacher complexities and oracle inequalities in risk minimization,” Annals of statistics, vol. 34, iss. 6, pp. 2657-2706, 2006.
  [Bibtex]

  @ARTICLE{Bartlett20062657,
  author={Bartlett, P.L. and Mendelson, S. and Blanchard, G. and Massart, P. and Clemençon, S. and Lugosi, G. and Vayatis, N. and Xiaotong, S. and Lifeng, W. and Tsybakov, A.B. and Van De Geer, S. and Koltchinskii, V.},
  title={Discussion: Local rademacher complexities and oracle inequalities in risk minimization},
  journal={Annals of Statistics},
  year={2006},
  volume={34},
  number={6},
  pages={2657-2706},
  doi={10.1214/009083606000001028},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-34547313726&doi=10.1214%2f009083606000001028&partnerID=40&md5=aff880828789b38b18e6c8978b057910},
  document_type={Note},
  source={Scopus},
  }

• F. Bunea, A. B. Tsybakov, and M. H. Wegkamp, “Aggregation and sparsity via â„“1 penalized least squares,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4005 LNAI, pp. 379-391, 2006.
  [Bibtex]

  @ARTICLE{Bunea2006379,
  author={Bunea, F. and Tsybakov, A.B. and Wegkamp, M.H.},
  title={Aggregation and sparsity via â„“1 penalized least squares},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2006},
  volume={4005 LNAI},
  pages={379-391},
  doi={10.1007/11776420_29},
  note={cited By 38},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746056860&doi=10.1007%2f11776420_29&partnerID=40&md5=e16dad384d709ad079302d3a113dacaa},
  document_type={Conference Paper},
  source={Scopus},
  }

• C. Butucea and K. Tribouley, “Nonparametric homogeneity tests,” Journal of statistical planning and inference, vol. 136, iss. 3, pp. 597-639, 2006.
  [Bibtex]

  @ARTICLE{Butucea2006597,
  author={Butucea, C. and Tribouley, K.},
  title={Nonparametric homogeneity tests},
  journal={Journal of Statistical Planning and Inference},
  year={2006},
  volume={136},
  number={3},
  pages={597-639},
  doi={10.1016/j.jspi.2004.08.003},
  note={cited By 15},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28044466895&doi=10.1016%2fj.jspi.2004.08.003&partnerID=40&md5=3395f17bf6a99a283db4a116561e257b},
  document_type={Article},
  source={Scopus},
  }

• A. Dalalyan and M. Reiß, “Asymptotic statistical equivalence for scalar ergodic diffusions,” Probability theory and related fields, vol. 134, iss. 2, pp. 248-282, 2006.
  [Bibtex]

  @ARTICLE{Dalalyan2006248,
  author={Dalalyan, A. and Reiß, M.},
  title={Asymptotic statistical equivalence for scalar ergodic diffusions},
  journal={Probability Theory and Related Fields},
  year={2006},
  volume={134},
  number={2},
  pages={248-282},
  doi={10.1007/s00440-004-0416-1},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28644440536&doi=10.1007%2fs00440-004-0416-1&partnerID=40&md5=be072a1aafad1c97b056f147a8029052},
  document_type={Article},
  source={Scopus},
  }

• A. S. Dalalyan, G. K. Golubev, and A. B. Tsybakov, “Penalized maximum likelihood and semiparametric second-order efficiency,” Annals of statistics, vol. 34, iss. 1, pp. 169-201, 2006.
  [Bibtex]

  @ARTICLE{Dalalyan2006169,
  author={Dalalyan, A.S. and Golubev, G.K. and Tsybakov, A.B.},
  title={Penalized maximum likelihood and semiparametric second-order efficiency},
  journal={Annals of Statistics},
  year={2006},
  volume={34},
  number={1},
  pages={169-201},
  doi={10.1214/009053605000000895},
  note={cited By 27},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744800008&doi=10.1214%2f009053605000000895&partnerID=40&md5=eb3e1e2fe01788274be43ada48822547},
  document_type={Article},
  source={Scopus},
  }

• M. Delecroix, M. Hristache, and V. Patilea, “On semiparametric m-estimation in single-index regression,” Journal of statistical planning and inference, vol. 136, iss. 3, pp. 730-769, 2006.
  [Bibtex]

  @ARTICLE{Delecroix2006730,
  author={Delecroix, M. and Hristache, M. and Patilea, V.},
  title={On semiparametric M-estimation in single-index regression},
  journal={Journal of Statistical Planning and Inference},
  year={2006},
  volume={136},
  number={3},
  pages={730-769},
  doi={10.1016/j.jspi.2004.09.006},
  note={cited By 61},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-28044442060&doi=10.1016%2fj.jspi.2004.09.006&partnerID=40&md5=f335e83e29f3d178cfc201a6805f411c},
  document_type={Article},
  source={Scopus},
  }

• A. Goldenshluger, A. Tsybakov, and A. Zeevi, “Optimal change-point estimation from indirect observations,” Annals of statistics, vol. 34, iss. 1, pp. 350-372, 2006.
  [Bibtex]

  @ARTICLE{Goldenshluger2006350,
  author={Goldenshluger, A. and Tsybakov, A. and Zeevi, A.},
  title={Optimal change-point estimation from indirect observations},
  journal={Annals of Statistics},
  year={2006},
  volume={34},
  number={1},
  pages={350-372},
  doi={10.1214/009053605000000750},
  note={cited By 31},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33744820824&doi=10.1214%2f009053605000000750&partnerID=40&md5=2b772b50b82b69ae558c80140470d3b9},
  document_type={Article},
  source={Scopus},
  }

• C. Gourieroux and C. Y. Robert, “Stochastic unit root models,” Econometric theory, vol. 22, iss. 6, pp. 1052-1090, 2006.
  [Bibtex]

  @ARTICLE{Gourieroux20061052,
  author={Gourieroux, C. and Robert, C.Y.},
  title={Stochastic unit root models},
  journal={Econometric Theory},
  year={2006},
  volume={22},
  number={6},
  pages={1052-1090},
  doi={10.1017/S0266466606060518},
  note={cited By 15},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845738227&doi=10.1017%2fS0266466606060518&partnerID=40&md5=e0e294b1918f69f61ebd96209f04e93b},
  document_type={Article},
  source={Scopus},
  }

• A. B. Juditsky, A. V. Nazin, A. B. Tsybakov, and N. Vayatis, “Remark on recursive aggregation of estimators by the mirror descent algorithm with averaging published in probl. peredachi inf., 2005, no. 4,” Problems of information transmission, vol. 42, iss. 3, p. 262, 2006.
  [Bibtex]

  @ARTICLE{Juditsky2006262,
  author={Juditsky, A.B. and Nazin, A.V. and Tsybakov, A.B. and Vayatis, N.},
  title={Remark on Recursive aggregation of estimators by the mirror descent algorithm with averaging published in Probl. Peredachi Inf., 2005, no. 4},
  journal={Problems of Information Transmission},
  year={2006},
  volume={42},
  number={3},
  pages={262},
  doi={10.1134/S0032946006030094},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33750211223&doi=10.1134%2fS0032946006030094&partnerID=40&md5=93378eaa2bb3f93b9e91ef180014dc6d},
  document_type={Letter},
  source={Scopus},
  }

• G. Lecue, “Lower bounds and aggregation in density estimation,” Journal of machine learning research, vol. 7, iss. None, pp. 971-981, 2006.
  [Bibtex]

  @ARTICLE{Lecue2006LowerEstimation,
  author={Guillaume Lecue},
  title={Lower bounds and aggregation in density estimation},
  journal={Journal of Machine Learning Research},
  year={2006},
  volume={7},
  number={None},
  pages={971-981},
  }

• G. Lecue, “Lower bounds and aggregation in density estimation,” Journal of machine learning research, vol. 7, pp. 971-981, 2006.
  [Bibtex]

  @ARTICLE{Lecue2006971,
  author={Lecue, G.},
  title={Lower bounds and aggregation in density estimation},
  journal={Journal of Machine Learning Research},
  year={2006},
  volume={7},
  pages={971-981},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33745116932&partnerID=40&md5=4689d0ec3b19889f36f02156d0cf23c5},
  document_type={Article},
  source={Scopus},
  }

• G. Lecue, “Optimal oracle inequality for aggregation of classifiers under low noise condition,” Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol. 4005 LNAI, pp. 364-378, 2006.
  [Bibtex]

  @ARTICLE{Lecue2006364,
  author={Lecue, G.},
  title={Optimal oracle inequality for aggregation of classifiers under low noise condition},
  journal={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year={2006},
  volume={4005 LNAI},
  pages={364-378},
  doi={10.1007/11776420_28},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746090509&doi=10.1007%2f11776420_28&partnerID=40&md5=2394942cdb9bdfcbfe15b2e31900f9e0},
  document_type={Conference Paper},
  source={Scopus},
  }

• V. Patilea and J. -M. Rolin, “Product-limit estimators of the survival function with twice censored data,” Annals of statistics, vol. 34, iss. 2, pp. 925-938, 2006.
  [Bibtex]

  @ARTICLE{Patilea2006925,
  author={Patilea, V. and Rolin, J.-M.},
  title={Product-limit estimators of the survival function with twice censored data},
  journal={Annals of Statistics},
  year={2006},
  volume={34},
  number={2},
  pages={925-938},
  doi={10.1214/009053606000000065},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33746242081&doi=10.1214%2f009053606000000065&partnerID=40&md5=741ef3ab8bce91def1e1fc0a747f9d24},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea and J. -M. Rolin, “Product-limit estimators of the survival function for two modified forms of currentstatus data,” Bernoulli, vol. 12, iss. 5, pp. 801-819, 2006.
  [Bibtex]

  @ARTICLE{Patilea2006801,
  author={Patilea, V. and Rolin, J.-M.},
  title={Product-limit estimators of the survival function for two modified forms of currentstatus data},
  journal={Bernoulli},
  year={2006},
  volume={12},
  number={5},
  pages={801-819},
  doi={10.3150/bj/1161614947},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-71249111048&doi=10.3150%2fbj%2f1161614947&partnerID=40&md5=f0620af21bb527c9f015e0e9737bcc36},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, S. V. D. A. Geer, B. Yu, T. Valdes, C. Rivero, J. Fan, A. V. D. Vaart, P. J. Bickel, and B. Li, “Regularization in statistics: discussion,” Test, vol. 15, iss. 2, pp. 303-344, 2006.
  [Bibtex]

  @ARTICLE{Tsybakov2006RegularizationDiscussion,
  author={Alexandre B. Tsybakov and Sara A. Van De Geer and Bin Yu and Teófilo Valdes and Carlos Rivero and Jianqing Fan and Aad Van Der Vaart and Peter J. Bickel and Bo Li},
  title={Regularization in statistics: Discussion},
  journal={Test},
  year={2006},
  volume={15},
  number={2},
  pages={303-344},
  }

• A. B. Tsybakov, S. A. Van De Geer, B. Yu, T. Valdes, C. Rivero, J. Fan, A. Van Der Vaart, P. J. Bickel, and B. Li, “Regularization in statistics: discussion,” Test, vol. 15, iss. 2, pp. 303-344, 2006.
  [Bibtex]

  @ARTICLE{Tsybakov2006303,
  author={Tsybakov, A.B. and Van De Geer, S.A. and Yu, B. and Valdes, T. and Rivero, C. and Fan, J. and Van Der Vaart, A. and Bickel, P.J. and Li, B.},
  title={Regularization in statistics: Discussion},
  journal={Test},
  year={2006},
  volume={15},
  number={2},
  pages={303-344},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845674505&partnerID=40&md5=1d1f57d081e8894c7fe4cd8e433fdc75},
  document_type={Note},
  source={Scopus},
  }

2005

• M. Cuturi and J. Vert, “The context-tree kernel for strings.,” Neural networks, 2005.
  [Bibtex]

  @article{cuturi:hal-00433583,
  author={Cuturi, Marco and Vert, Jean-Philippe},
  title={The context-tree kernel for strings.},
  journal={Neural Networks},
  year={2005},
  }

• C. Butucea and M. H. Neumann, “Exact asymptotics for estimating the marginal density of discretely observed diffusion processes,” Bernoulli, vol. 11, iss. 3, pp. 411-444, 2005.
  [Bibtex]

  @ARTICLE{Butucea2005411,
  author={Butucea, C. and Neumann, M.H.},
  title={Exact asymptotics for estimating the marginal density of discretely observed diffusion processes},
  journal={Bernoulli},
  year={2005},
  volume={11},
  number={3},
  pages={411-444},
  doi={10.3150/bj/1120591183},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33845771345&doi=10.3150%2fbj%2f1120591183&partnerID=40&md5=bd360a34307aec473e8a3cb5d67be488},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea and C. Matias, “Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model,” Bernoulli, vol. 11, iss. 2, pp. 309-340, 2005.
  [Bibtex]

  @ARTICLE{Butucea2005309,
  author={Butucea, C. and Matias, C.},
  title={Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model},
  journal={Bernoulli},
  year={2005},
  volume={11},
  number={2},
  pages={309-340},
  doi={10.3150/bj/1116340297},
  note={cited By 40},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33751159778&doi=10.3150%2fbj%2f1116340297&partnerID=40&md5=95d9e77364b313fe66d9f07845ee3565},
  document_type={Article},
  source={Scopus},
  }

• D. Bohning and V. Patilea, “Asymptotic normality in mixtures of power series distributions,” Scandinavian journal of statistics, vol. 32, iss. 1, pp. 115-131, 2005.
  [Bibtex]

  @ARTICLE{Bohning2005115,
  author={Bohning, D. and Patilea, V.},
  title={Asymptotic normality in mixtures of power series distributions},
  journal={Scandinavian Journal of Statistics},
  year={2005},
  volume={32},
  number={1},
  pages={115-131},
  doi={10.1111/j.1467-9469.2005.00418.x},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-14644415437&doi=10.1111%2fj.1467-9469.2005.00418.x&partnerID=40&md5=3691736c7047a5583a7f9830d3943a65},
  document_type={Article},
  source={Scopus},
  }

• M. Cuturi, K. Fukumizu, and J. P. Vert, “Semigroup kernels on measures,” Journal of machine learning research, vol. 6, iss. None, p. -, 2005.
  [Bibtex]

  @ARTICLE{Cuturi2005SemigroupMeasures,
  author={Marco Cuturi and Kenji Fukumizu and Jean Philippe Vert},
  title={Semigroup kernels on measures},
  journal={Journal of Machine Learning Research},
  year={2005},
  volume={6},
  number={None},
  pages={-},
  }

• M. Cuturi and J. -P. Vert, “The context-tree kernel for strings,” Neural networks, vol. 18, iss. 8, pp. 1111-1123, 2005.
  [Bibtex]

  @ARTICLE{Cuturi20051111,
  author={Cuturi, M. and Vert, J.-P.},
  title={The context-tree kernel for strings},
  journal={Neural Networks},
  year={2005},
  volume={18},
  number={8},
  pages={1111-1123},
  doi={10.1016/j.neunet.2005.07.010},
  note={cited By 26},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23244459989&doi=10.1016%2fj.neunet.2005.07.010&partnerID=40&md5=fed1db3bb32830c58b0f87a3bfb01f86},
  document_type={Article},
  source={Scopus},
  }

• M. Cuturi, K. Fukumizu, and J. -P. Vert, “Semigroup kernels on measures,” Journal of machine learning research, vol. 6, 2005.
  [Bibtex]

  @ARTICLE{Cuturi2005,
  author={Cuturi, M. and Fukumizu, K. and Vert, J.-P.},
  title={Semigroup kernels on measures},
  journal={Journal of Machine Learning Research},
  year={2005},
  volume={6},
  page_count={30},
  note={cited By 41},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23244459499&partnerID=40&md5=2dcb3d85e1d56d53d43fd873b14dd49b},
  document_type={Article},
  source={Scopus},
  }

• A. Dalalyan, “Sharp adaptive estimation of the drift function for ergodic diffusions,” Annals of statistics, vol. 33, iss. 6, pp. 2507-2528, 2005.
  [Bibtex]

  @ARTICLE{Dalalyan20052507,
  author={Dalalyan, A.},
  title={Sharp adaptive estimation of the drift function for ergodic diffusions},
  journal={Annals of Statistics},
  year={2005},
  volume={33},
  number={6},
  pages={2507-2528},
  doi={10.1214/009053605000000615},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-33644900974&doi=10.1214%2f009053605000000615&partnerID=40&md5=3abf9e131934da96ac9d278789e550cb},
  document_type={Article},
  source={Scopus},
  }

• A. B. Juditsky, A. V. Nazin, A. B. Tsybakov, and N. Vayatis, “Recursive aggregation of estimators by the mirror descent algorithm with averaging,” Problems of information transmission, vol. 41, iss. 4, pp. 368-384, 2005.
  [Bibtex]

  @ARTICLE{Juditsky2005368,
  author={Juditsky, A.B. and Nazin, A.V. and Tsybakov, A.B. and Vayatis, N.},
  title={Recursive aggregation of estimators by the mirror descent algorithm with averaging},
  journal={Problems of Information Transmission},
  year={2005},
  volume={41},
  number={4},
  pages={368-384},
  doi={10.1007/s11122-006-0005-2},
  note={cited By 46},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-31344435933&doi=10.1007%2fs11122-006-0005-2&partnerID=40&md5=1ac48541406bd43b9dd7e00dea8a46a5},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov and S. A. D. E. Van Geer, “Square root penalty: adaptation to the margin in classification and in edge estimation,” Annals of statistics, vol. 33, iss. 3, pp. 1203-1224, 2005.
  [Bibtex]

  @ARTICLE{Tsybakov20051203,
  author={Tsybakov, A.B. and Van Geer, S.A.D.E.},
  title={Square root penalty: Adaptation to the margin in classification and in edge estimation},
  journal={Annals of Statistics},
  year={2005},
  volume={33},
  number={3},
  pages={1203-1224},
  doi={10.1214/009053604000001066},
  note={cited By 31},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-23744505130&doi=10.1214%2f009053604000001066&partnerID=40&md5=a3b1cc91f3a4bbe73f5682c5e6be100e},
  document_type={Article},
  source={Scopus},
  }

2004

• N. Chopin, “Central limit theorem for sequential monte carlo methods and its application to bayesian inference,” Annals of statistics, 2004.
  [Bibtex]

  @article{chopin:hal-02403337,
  author={Chopin, Nicolas},
  title={Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference},
  journal={Annals of Statistics},
  year={2004},
  }

• C. Butucea, “Asymptotic normality of the integrated square error of a density estimator in the convolution model,” Sort, vol. 28, iss. 1, pp. 9-25, 2004.
  [Bibtex]

  @ARTICLE{Butucea2004AsymptoticModel,
  author={C. Butucea},
  title={Asymptotic normality of the integrated square error of a density estimator in the convolution model},
  journal={SORT},
  year={2004},
  volume={28},
  number={1},
  pages={9-25},
  }

• C. Butucea, “Deconvolution of supersmooth densities with smooth noise,” Canadian journal of statistics, vol. 32, iss. 2, pp. 181-192, 2004.
  [Bibtex]

  @ARTICLE{Butucea2004181,
  author={Butucea, C.},
  title={Deconvolution of supersmooth densities with smooth noise},
  journal={Canadian Journal of Statistics},
  year={2004},
  volume={32},
  number={2},
  pages={181-192},
  doi={10.2307/3315941},
  note={cited By 36},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142782035&doi=10.2307%2f3315941&partnerID=40&md5=73f60fec4106f917bb0fa7d275f792a1},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, “Asymptotic normality of the integrated square error of a density estimator in the convolution model,” Sort, vol. 28, iss. 1, pp. 9-25, 2004.
  [Bibtex]

  @ARTICLE{Butucea20049,
  author={Butucea, C.},
  title={Asymptotic normality of the integrated square error of a density estimator in the convolution model},
  journal={SORT},
  year={2004},
  volume={28},
  number={1},
  pages={9-25},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142667676&partnerID=40&md5=43213c6ab4cb9bb85c9abbabee622d73},
  document_type={Article},
  source={Scopus},
  }

• L. Cavalier, Y. Gulobev, O. Lepski, and A. Tsybakov, “Block thresholding and sharp adaptive estimation in severely ill-posed inverse problems,” Theory of probability and its applications, vol. 48, iss. 3, pp. 426-446, 2004.
  [Bibtex]

  @ARTICLE{Cavalier2004426,
  author={Cavalier, L. and Gulobev, Y. and Lepski, O. and Tsybakov, A.},
  title={Block thresholding and sharp adaptive estimation in severely ill-posed inverse problems},
  journal={Theory of Probability and its Applications},
  year={2004},
  volume={48},
  number={3},
  pages={426-446},
  doi={10.1137/S0040585X97980555},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-7544237614&doi=10.1137%2fS0040585X97980555&partnerID=40&md5=8626ff0b668ff2393cb40950edfe5b67},
  document_type={Conference Paper},
  source={Scopus},
  }

• N. Chopin, “Central limit theorem for sequential monte carlo methods and its application to bayesian inference,” Annals of statistics, vol. 32, iss. 6, pp. 2385-2411, 2004.
  [Bibtex]

  @ARTICLE{Chopin20042385,
  author={Chopin, N.},
  title={Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference},
  journal={Annals of Statistics},
  year={2004},
  volume={32},
  number={6},
  pages={2385-2411},
  doi={10.1214/009053604000000698},
  note={cited By 193},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21644457738&doi=10.1214%2f009053604000000698&partnerID=40&md5=ac3617ec2307eacf7dcd8e30eec2a52b},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin and F. Pelgrin, “Bayesian inference and state number determination for hidden markov models: an application to the information content of the yield curve about inflation,” Journal of econometrics, vol. 123, iss. 2, pp. 327-344, 2004.
  [Bibtex]

  @ARTICLE{Chopin2004327,
  author={Chopin, N. and Pelgrin, F.},
  title={Bayesian inference and state number determination for hidden Markov models: An application to the information content of the yield curve about inflation},
  journal={Journal of Econometrics},
  year={2004},
  volume={123},
  number={2},
  pages={327-344},
  doi={10.1016/j.jeconom.2003.12.010},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-4644268492&doi=10.1016%2fj.jeconom.2003.12.010&partnerID=40&md5=2ffe2e30db9b674c3eff973bd9a981da},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Goldenshluger and A. Tsybakov, “Estimating the endpoint of a distribution in the presence of additive observation errors,” Statistics and probability letters, vol. 68, iss. 1, pp. 39-49, 2004.
  [Bibtex]

  @ARTICLE{Goldenshluger200439,
  author={Goldenshluger, A. and Tsybakov, A.},
  title={Estimating the endpoint of a distribution in the presence of additive observation errors},
  journal={Statistics and Probability Letters},
  year={2004},
  volume={68},
  number={1},
  pages={39-49},
  doi={10.1016/j.spl.2004.01.013},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-2342603497&doi=10.1016%2fj.spl.2004.01.013&partnerID=40&md5=61f56668f71920d879fed41b833eed20},
  document_type={Article},
  source={Scopus},
  }

• J. Klemela and A. B. Tsybakov, “Exact constants for pointwise adaptive estimation under the riesz transform,” Probability theory and related fields, vol. 129, iss. 3, pp. 441-467, 2004.
  [Bibtex]

  @ARTICLE{Klemela2004441,
  author={Klemela, J. and Tsybakov, A.B.},
  title={Exact constants for pointwise adaptive estimation under the Riesz transform},
  journal={Probability Theory and Related Fields},
  year={2004},
  volume={129},
  number={3},
  pages={441-467},
  doi={10.1007/s00440-004-0348-9},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3042813988&doi=10.1007%2fs00440-004-0348-9&partnerID=40&md5=c89bec6b905a0fbd7ea655c03f2cfd49},
  document_type={Article},
  source={Scopus},
  }

• E. Mammen and A. B. Tsybakov, “Erratum: smooth discrimination analysis (the annals of statistics (1999) 27 (1808-1829)),” Annals of statistics, vol. 32, iss. 5, pp. 2340-2341, 2004.
  [Bibtex]

  @ARTICLE{Mammen20042340,
  author={Mammen, E. and Tsybakov, A.B.},
  title={Erratum: Smooth discrimination analysis (The Annals of Statistics (1999) 27 (1808-1829))},
  journal={Annals of Statistics},
  year={2004},
  volume={32},
  number={5},
  pages={2340-2341},
  doi={10.1214/009053604000000869},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-24344503785&doi=10.1214%2f009053604000000869&partnerID=40&md5=bd138454d570e18323fa7124925100ae},
  document_type={Erratum},
  source={Scopus},
  }

• G. Nason, E. Moulines, C. P. Robert, C. Andrieu, A. Stoffelen, D. Paul, F. Abramovich, R. G. Aykroyd, R. M. West, S. Meng, C. Butucea, L. Cavalier, N. Cressie, M. Davy, D. De Canditiis, M. Pensky, Y. Golubev, R. N. Hoffman, E. Khabie-Zeitoune, A. Munk, F. H. Ruymgaart, S. C. Olhede, A. Tsybakov, G. Wahba, I. M. Johnstone, G. Kerkyacharian, D. Picard, M. Raimondo, P. J. Wolfe, S. J. Godsill, W. -J. Ng, H. Haario, M. Laine, M. Lehtinen, E. Saksman, J. Tamminen, D. Cornford, L. Csató, D. J. Evans, and M. Opper, “Dicussion on the meeting on ‘statistical approaches to inverse problems’,” Journal of the royal statistical society. series b: statistical methodology, vol. 66, iss. 3, pp. 627-652, 2004.
  [Bibtex]

  @ARTICLE{Nason2004627,
  author={Nason, G. and Moulines, E. and Robert, C.P. and Andrieu, C. and Stoffelen, A. and Paul, D. and Abramovich, F. and Aykroyd, R.G. and West, R.M. and Meng, S. and Butucea, C. and Cavalier, L. and Cressie, N. and Davy, M. and De Canditiis, D. and Pensky, M. and Golubev, Yu. and Hoffman, R.N. and Khabie-Zeitoune, E. and Munk, A. and Ruymgaart, F.H. and Olhede, S.C. and Tsybakov, A. and Wahba, G. and Johnstone, I.M. and Kerkyacharian, G. and Picard, D. and Raimondo, M. and Wolfe, P.J. and Godsill, S.J. and Ng, W.-J. and Haario, H. and Laine, M. and Lehtinen, M. and Saksman, E. and Tamminen, J. and Cornford, D. and Csató, L. and Evans, D.J. and Opper, M.},
  title={Dicussion on the meeting on 'Statistical approaches to inverse problems'},
  journal={Journal of the Royal Statistical Society. Series B: Statistical Methodology},
  year={2004},
  volume={66},
  number={3},
  pages={627-652},
  doi={10.1111/j.1467-9868.2004.2060d.x},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3543029866&doi=10.1111%2fj.1467-9868.2004.2060d.x&partnerID=40&md5=2248eed47eeba4507b850cf6aa116606},
  document_type={Conference Paper},
  source={Scopus},
  }

• A. Samarov and A. Tsybakov, “Nonparametric independent component analysis,” Bernoulli, vol. 10, iss. 4, pp. 565-582, 2004.
  [Bibtex]

  @ARTICLE{Samarov2004565,
  author={Samarov, A. and Tsybakov, A.},
  title={Nonparametric independent component analysis},
  journal={Bernoulli},
  year={2004},
  volume={10},
  number={4},
  pages={565-582},
  doi={10.3150/bj/1093265630},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-29144464874&doi=10.3150%2fbj%2f1093265630&partnerID=40&md5=b141deb942cf53988a0fa7db24e08eff},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Optimal aggregation of classifiers in statistical learning,” Annals of statistics, vol. 32, iss. 1, pp. 135-166, 2004.
  [Bibtex]

  @ARTICLE{Tsybakov2004135,
  author={Tsybakov, A.B.},
  title={Optimal aggregation of classifiers in statistical learning},
  journal={Annals of Statistics},
  year={2004},
  volume={32},
  number={1},
  pages={135-166},
  doi={10.1214/aos/1079120131},
  note={cited By 319},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-3142725508&doi=10.1214%2faos%2f1079120131&partnerID=40&md5=dbeea69d86992bc835627b3c424f2c86},
  document_type={Article},
  source={Scopus},
  }

2003

• O. Catoni, “Laplace transform estimates and deviation inequalities,” Annales de l’institut henri poincare (b) probability and statistics, vol. 39, iss. 1, pp. 1-26, 2003.
  [Bibtex]

  @ARTICLE{Catoni20031,
  author={Catoni, O.},
  title={Laplace transform estimates and deviation inequalities},
  journal={Annales de l'institut Henri Poincare (B) Probability and Statistics},
  year={2003},
  volume={39},
  number={1},
  pages={1-26},
  doi={10.1016/S0246-0203(02)00017-1},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037272395&doi=10.1016%2fS0246-0203%2802%2900017-1&partnerID=40&md5=2c298761f98bcbde4aef6717e80c0b42},
  document_type={Article},
  source={Scopus},
  }

• A. Goldenshluger and A. Tsybakov, “Optimal prediction for linear regression with infinitely many parameters,” Journal of multivariate analysis, vol. 84, iss. 1, pp. 40-60, 2003.
  [Bibtex]

  @ARTICLE{Goldenshluger200340,
  author={Goldenshluger, A. and Tsybakov, A.},
  title={Optimal prediction for linear regression with infinitely many parameters},
  journal={Journal of Multivariate Analysis},
  year={2003},
  volume={84},
  number={1},
  pages={40-60},
  doi={10.1016/S0047-259X(02)00006-4},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037288986&doi=10.1016%2fS0047-259X%2802%2900006-4&partnerID=40&md5=66aab9bbf66462c14015606956bf0f6c},
  document_type={Review},
  source={Scopus},
  }

• S. Pastorello, V. Patilea, and E. Renault, “Rejoinder,” Journal of business and economic statistics, vol. 21, iss. 4, pp. 503-509, 2003.
  [Bibtex]

  @ARTICLE{Pastorello2003RejoinderRejoinder,
  author={Sergio Pastorello and Valentin Patilea and Eric Renault},
  title={Rejoinder},
  journal={Journal of Business and Economic Statistics},
  year={2003},
  volume={21},
  number={4},
  pages={503-509},
  }

• S. Pastorello, V. Patilea, and E. Renault, “Rejoinder,” Journal of business and economic statistics, vol. 21, iss. 4, pp. 503-509, 2003.
  [Bibtex]

  @ARTICLE{Pastorello2003503,
  author={Pastorello, S. and Patilea, V. and Renault, E.},
  title={Rejoinder},
  journal={Journal of Business and Economic Statistics},
  year={2003},
  volume={21},
  number={4},
  pages={503-509},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242318895&partnerID=40&md5=2ea1da8ae452c17f8fc03aa7d94451ee},
  document_type={Note},
  source={Scopus},
  }

• S. Pastorello, V. Patilea, and E. Renault, “Iterative and recursive estimation in structural nonadaptive models,” Journal of business and economic statistics, vol. 21, iss. 4, pp. 449-509, 2003.
  [Bibtex]

  @ARTICLE{Pastorello2003449,
  author={Pastorello, S. and Patilea, V. and Renault, E.},
  title={Iterative and Recursive Estimation in Structural Nonadaptive Models},
  journal={Journal of Business and Economic Statistics},
  year={2003},
  volume={21},
  number={4},
  pages={449-509},
  doi={10.1198/073500103288619124},
  note={cited By 28},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0242318897&doi=10.1198%2f073500103288619124&partnerID=40&md5=a145e1a11041e50f2d9a3a01742d4219},
  document_type={Review},
  source={Scopus},
  }

2002

• N. Chopin, “A sequential particle filter method for static models,” Biometrika, 2002.
  [Bibtex]

  @article{chopin:hal-02403335,
  author={Chopin, Nicolas},
  title={A sequential particle filter method for static models},
  journal={Biometrika},
  year={2002},
  }

• L. Birge, L. D. Brown, Y. Lin, S. Efromovich, D. Picard, K. Tribouley, A. B. Tsybakov, S. V. D. Geer, M. Hoffmann, and O. Lepski, “Random rates in anisotropic regression: discussion,” Annals of statistics, vol. 30, iss. 2, pp. 359-396, 2002.
  [Bibtex]

  @ARTICLE{Birge2002RandomDiscussion,
  author={Lucien Birge and Lawrence D. Brown and Yi Lin and Sam Efromovich and Dominique Picard and Karine Tribouley and Alexandre B. Tsybakov and Sara Van De Geer and M. Hoffmann and O. Lepski},
  title={Random Rates in Anisotropic Regression: Discussion},
  journal={Annals of Statistics},
  year={2002},
  volume={30},
  number={2},
  pages={359-396},
  }

• L. Birge, L. D. Brown, Y. Lin, S. Efromovich, D. Picard, K. Tribouley, A. B. Tsybakov, S. Van De Geer, M. Hoffmann, and O. Lepski, “Random rates in anisotropic regression: discussion,” Annals of statistics, vol. 30, iss. 2, pp. 359-396, 2002.
  [Bibtex]

  @ARTICLE{Birge2002359,
  author={Birge, L. and Brown, L.D. and Lin, Y. and Efromovich, S. and Picard, D. and Tribouley, K. and Tsybakov, A.B. and Van De Geer, S. and Hoffmann, M. and Lepski, O.},
  title={Random Rates in Anisotropic Regression: Discussion},
  journal={Annals of Statistics},
  year={2002},
  volume={30},
  number={2},
  pages={359-396},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0043289755&partnerID=40&md5=24b3d786060c157aa6ffc4b44ca17ff9},
  document_type={Note},
  source={Scopus},
  }

• L. Cavalier and A. Tsybakov, “Sharp adaptation for inverse problems with random noise,” Probability theory and related fields, vol. 123, iss. 3, pp. 323-354, 2002.
  [Bibtex]

  @ARTICLE{Cavalier2002323,
  author={Cavalier, L. and Tsybakov, A.},
  title={Sharp adaptation for inverse problems with random noise},
  journal={Probability Theory and Related Fields},
  year={2002},
  volume={123},
  number={3},
  pages={323-354},
  doi={10.1007/s004400100169},
  note={cited By 93},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036022583&doi=10.1007%2fs004400100169&partnerID=40&md5=41f256cd1dc460fabe5383ad6c80dd2a},
  document_type={Article},
  source={Scopus},
  }

• L. Cavalier, G. K. Golubev, D. Picard, and A. B. Tsybakov, “Oracle inequalities for inverse problems,” Annals of statistics, vol. 30, iss. 3, pp. 843-874, 2002.
  [Bibtex]

  @ARTICLE{Cavalier2002843,
  author={Cavalier, L. and Golubev, G.K. and Picard, D. and Tsybakov, A.B.},
  title={Oracle inequalities for inverse problems},
  journal={Annals of Statistics},
  year={2002},
  volume={30},
  number={3},
  pages={843-874},
  doi={10.1214/aos/1028674843},
  note={cited By 100},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036045292&doi=10.1214%2faos%2f1028674843&partnerID=40&md5=3f21f122b2b22bb519cd1ad5cee99ca9},
  document_type={Article},
  source={Scopus},
  }

• N. Chopin, “A sequential particle filter method for static models,” Biometrika, vol. 89, iss. 3, pp. 539-551, 2002.
  [Bibtex]

  @ARTICLE{Chopin2002539,
  author={Chopin, N.},
  title={A sequential particle filter method for static models},
  journal={Biometrika},
  year={2002},
  volume={89},
  number={3},
  pages={539-551},
  doi={10.1093/biomet/89.3.539},
  note={cited By 285},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0012338718&doi=10.1093%2fbiomet%2f89.3.539&partnerID=40&md5=a068b6008fade7cc4bacd2b17c5232ee},
  document_type={Review},
  source={Scopus},
  }

• G. Gayraud and A. B. Tsybakov, “Testing hypotheses about contours in images,” Journal of nonparametric statistics, vol. 14, iss. 1-2, pp. 67-85, 2002.
  [Bibtex]

  @ARTICLE{Gayraud200267,
  author={Gayraud, G. and Tsybakov, A.B.},
  title={Testing hypotheses about contours in images},
  journal={Journal of Nonparametric Statistics},
  year={2002},
  volume={14},
  number={1-2},
  pages={67-85},
  doi={10.1080/10485250211387},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0036556157&doi=10.1080%2f10485250211387&partnerID=40&md5=4b9821e53dfa1b6b807b03f6a22cae71},
  document_type={Article},
  source={Scopus},
  }

2001

• C. Butucea, “Numerical results concerning a sharp adaptive density estimator,” Computational statistics, vol. 16, iss. 2, pp. 271-298, 2001.
  [Bibtex]

  @ARTICLE{Butucea2001271,
  author={Butucea, C.},
  title={Numerical results concerning a sharp adaptive density estimator},
  journal={Computational Statistics},
  year={2001},
  volume={16},
  number={2},
  pages={271-298},
  doi={10.1007/s001800100065},
  note={cited By 3},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035630175&doi=10.1007%2fs001800100065&partnerID=40&md5=434ba907cb43977510d2275f23c807e4},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, “Exact adaptive pointwise estimation on sobolev classes of densities,” Esaim – probability and statistics, vol. 5, pp. 1-31, 2001.
  [Bibtex]

  @ARTICLE{Butucea20011,
  author={Butucea, C.},
  title={Exact adaptive pointwise estimation on sobolev classes of densities},
  journal={ESAIM - Probability and Statistics},
  year={2001},
  volume={5},
  pages={1-31},
  doi={10.1051/ps:2001100},
  note={cited By 19},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858745362&doi=10.1051%2fps%3a2001100&partnerID=40&md5=3f9ac550fd595b36f14b1453a03bb0ba},
  document_type={Article},
  source={Scopus},
  }

• A. Goldenshluger and A. Tsybakov, “Adaptive prediction and estimation in linear regression with infinitely many parameters,” Annals of statistics, vol. 29, iss. 6, pp. 1601-1619, 2001.
  [Bibtex]

  @ARTICLE{Goldenshluger20011601,
  author={Goldenshluger, A. and Tsybakov, A.},
  title={Adaptive prediction and estimation in linear regression with infinitely many parameters},
  journal={Annals of Statistics},
  year={2001},
  volume={29},
  number={6},
  pages={1601-1619},
  doi={10.1214/aos/1015345956},
  note={cited By 14},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035528155&doi=10.1214%2faos%2f1015345956&partnerID=40&md5=9f881b3ee2ac96b16042eda80ccc592c},
  document_type={Article},
  source={Scopus},
  }

• J. Klemela and A. B. Tsybakov, “Sharp adaptive estimation of linear functionals,” Annals of statistics, vol. 29, iss. 6, pp. 1567-1600, 2001.
  [Bibtex]

  @ARTICLE{Klemela20011567,
  author={Klemela, J. and Tsybakov, A.B.},
  title={Sharp adaptive estimation of linear functionals},
  journal={Annals of Statistics},
  year={2001},
  volume={29},
  number={6},
  pages={1567-1600},
  doi={10.1214/aos/1015345955},
  note={cited By 20},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035528160&doi=10.1214%2faos%2f1015345955&partnerID=40&md5=3f1b222dfe6f38e5b0bb7ac479df9785},
  document_type={Article},
  source={Scopus},
  }

• V. Patilea, “Convex models, mle and misspecification,” Annals of statistics, vol. 29, iss. 1, pp. 94-123, 2001.
  [Bibtex]

  @ARTICLE{Patilea200194,
  author={Patilea, V.},
  title={Convex models, MLE and misspecification},
  journal={Annals of Statistics},
  year={2001},
  volume={29},
  number={1},
  pages={94-123},
  doi={10.1214/aos/996986503},
  note={cited By 16},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035632525&doi=10.1214%2faos%2f996986503&partnerID=40&md5=c6af49f47a9284ba226120fb7c627b63},
  document_type={Article},
  source={Scopus},
  }

2000

• C. Butucea, “The adaptive rate of convergence in a problem of pointwise density estimation,” Statistics and probability letters, vol. 47, iss. 1, pp. 85-90, 2000.
  [Bibtex]

  @ARTICLE{Butucea200085,
  author={Butucea, C.},
  title={The adaptive rate of convergence in a problem of pointwise density estimation},
  journal={Statistics and Probability Letters},
  year={2000},
  volume={47},
  number={1},
  pages={85-90},
  doi={10.1016/s0167-7152(99)00141-8},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0042278758&doi=10.1016%2fs0167-7152%2899%2900141-8&partnerID=40&md5=bafbb1496aa632d51ac8ffd054425ef9},
  document_type={Article},
  source={Scopus},
  }

• O. Catoni, D. Chen, and J. Xie, “The loop erased exit path and the metastability of a biased vote process,” Stochastic processes and their applications, vol. 86, iss. 2, pp. 231-261, 2000.
  [Bibtex]

  @ARTICLE{Catoni2000231,
  author={Catoni, O. and Chen, D. and Xie, J.},
  title={The loop erased exit path and the metastability of a biased vote process},
  journal={Stochastic Processes and their Applications},
  year={2000},
  volume={86},
  number={2},
  pages={231-261},
  doi={10.1016/S0304-4149(99)00096-4},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0042207591&doi=10.1016%2fS0304-4149%2899%2900096-4&partnerID=40&md5=6d23e2b441a1dd94c08983a78f394037},
  document_type={Article},
  source={Scopus},
  }

• O. V. Lepski and A. B. Tsybakov, “Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point,” Probability theory and related fields, vol. 117, iss. 1, pp. 17-48, 2000.
  [Bibtex]

  @ARTICLE{Lepski200017,
  author={Lepski, O.V. and Tsybakov, A.B.},
  title={Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point},
  journal={Probability Theory and Related Fields},
  year={2000},
  volume={117},
  number={1},
  pages={17-48},
  doi={10.1007/s004400050265},
  note={cited By 46},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034399225&doi=10.1007%2fs004400050265&partnerID=40&md5=c3a994ae5a79499d4cd0e0e0e8902901},
  document_type={Article},
  source={Scopus},
  }

• A. Tsybakov, “On the best rate of adaptive estimation in some inverse problems [sur la meilleure vitesse d’estimation adaptative dans des certains problemes inverses],” Comptes rendus de l’academie des sciences – series i: mathematics, vol. 330, iss. 9, pp. 835-840, 2000.
  [Bibtex]

  @ARTICLE{Tsybakov2000835,
  author={Tsybakov, A.},
  title={On the best rate of adaptive estimation in some inverse problems [Sur la meilleure vitesse d'estimation adaptative dans des certains problemes inverses]},
  journal={Comptes Rendus de l'Academie des Sciences - Series I: Mathematics},
  year={2000},
  volume={330},
  number={9},
  pages={835-840},
  doi={10.1016/S0764-4442(00)00278-0},
  note={cited By 29},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034179341&doi=10.1016%2fS0764-4442%2800%2900278-0&partnerID=40&md5=b97871e4136170c4df5f6acd5ec7e048},
  document_type={Article},
  source={Scopus},
  }

1999

• M. Billio, A. Monfort, and C. P. Robert, “Bayesian estimation of switching arma models,” Journal of econometrics, vol. 93, iss. 2, pp. 229-255, 1999.
  [Bibtex]

  @ARTICLE{Billio1999229,
  author={Billio, M. and Monfort, A. and Robert, C.P.},
  title={Bayesian estimation of switching ARMA models},
  journal={Journal of Econometrics},
  year={1999},
  volume={93},
  number={2},
  pages={229-255},
  doi={10.1016/S0304-4076(99)00010-X},
  note={cited By 37},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001958038&doi=10.1016%2fS0304-4076%2899%2900010-X&partnerID=40&md5=a165d6c95e81d778f58f986177ef2d58},
  document_type={Article},
  source={Scopus},
  }

• C. Butucea, “Exact adaptive constant in density estimation [constante exacte adaptative dans l’estimation de la densite],” Comptes rendus de l’academie des sciences – series i: mathematics, vol. 329, iss. 6, pp. 535-540, 1999.
  [Bibtex]

  @ARTICLE{Butucea1999535,
  author={Butucea, C.},
  title={Exact adaptive constant in density estimation [Constante exacte adaptative dans l'estimation de la densite]},
  journal={Comptes Rendus de l'Academie des Sciences - Series I: Mathematics},
  year={1999},
  volume={329},
  number={6},
  pages={535-540},
  doi={10.1016/S0764-4442(00)80057-9},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033567766&doi=10.1016%2fS0764-4442%2800%2980057-9&partnerID=40&md5=e303880900890aef3dfbc1bbdd936aa7},
  document_type={Article},
  source={Scopus},
  }

• E. Mammen and A. B. Tsybakov, “Smooth discrimination analysis,” Annals of statistics, vol. 27, iss. 6, pp. 1808-1829, 1999.
  [Bibtex]

  @ARTICLE{Mammen19991808,
  author={Mammen, E. and Tsybakov, A.B.},
  title={Smooth discrimination analysis},
  journal={Annals of Statistics},
  year={1999},
  volume={27},
  number={6},
  pages={1808-1829},
  doi={10.1214/aos/1017939240},
  note={cited By 175},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033234630&doi=10.1214%2faos%2f1017939240&partnerID=40&md5=b0f69b05c5b49cdb6c44571331d91885},
  document_type={Article},
  source={Scopus},
  }

1998

• O. Catoni, “The energy transformation method for the metropolis algorithm compared with simulated annealing,” Probability theory and related fields, vol. 110, iss. 1, pp. 69-89, 1998.
  [Bibtex]

  @ARTICLE{Catoni199869,
  author={Catoni, O.},
  title={The energy transformation method for the Metropolis algorithm compared with Simulated Annealing},
  journal={Probability Theory and Related Fields},
  year={1998},
  volume={110},
  number={1},
  pages={69-89},
  doi={10.1007/s004400050145},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0038936316&doi=10.1007%2fs004400050145&partnerID=40&md5=e87cdfe492332fa537c17c09c1c6c4c2},
  document_type={Article},
  source={Scopus},
  }

• O. Catoni, “Solving scheduling problems by simulated annealing,” Siam journal on control and optimization, vol. 36, iss. 5, pp. 1539-1575, 1998.
  [Bibtex]

  @ARTICLE{Catoni19981539,
  author={Catoni, O.},
  title={Solving scheduling problems by simulated annealing},
  journal={SIAM Journal on Control and Optimization},
  year={1998},
  volume={36},
  number={5},
  pages={1539-1575},
  doi={10.1137/S0363012996307813},
  note={cited By 22},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032164346&doi=10.1137%2fS0363012996307813&partnerID=40&md5=3ac14fe1f235b93485fdddb3968fcae9},
  document_type={Article},
  source={Scopus},
  }

• C. Cot and O. Catoni, “Piecewise constant triangular cooling schedules for generalized simulated annealing algorithms,” Annals of applied probability, vol. 8, iss. 2, pp. 375-396, 1998.
  [Bibtex]

  @ARTICLE{Cot1998375,
  author={Cot, C. and Catoni, O.},
  title={Piecewise constant triangular cooling schedules for generalized simulated annealing algorithms},
  journal={Annals of Applied Probability},
  year={1998},
  volume={8},
  number={2},
  pages={375-396},
  doi={10.1214/aoap/1028903532},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032221195&doi=10.1214%2faoap%2f1028903532&partnerID=40&md5=f8e90e5bee6e67aedc668847b9eef57f},
  document_type={Article},
  source={Scopus},
  }

• E. Guerre and A. B. Tsybakov, “Exact asymptotic minimax constants for the estimation of analytical functions in lp,” Probability theory and related fields, vol. 112, iss. 1, pp. 33-51, 1998.
  [Bibtex]

  @ARTICLE{Guerre199833,
  author={Guerre, E. and Tsybakov, A.B.},
  title={Exact asymptotic minimax constants for the estimation of analytical functions in Lp},
  journal={Probability Theory and Related Fields},
  year={1998},
  volume={112},
  number={1},
  pages={33-51},
  doi={10.1007/s004400050182},
  note={cited By 7},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032166990&doi=10.1007%2fs004400050182&partnerID=40&md5=fff6c8f8651e7ab2c0f3200a0e416276},
  document_type={Article},
  source={Scopus},
  }

• W. Hardle, A. Tsybakov, and L. Yang, “Nonparametric vector autoregression,” Journal of statistical planning and inference, vol. 68, iss. 2, pp. 221-245, 1998.
  [Bibtex]

  @ARTICLE{Hardle1998221,
  author={Hardle, W. and Tsybakov, A. and Yang, L.},
  title={Nonparametric vector autoregression},
  journal={Journal of Statistical Planning and Inference},
  year={1998},
  volume={68},
  number={2},
  pages={221-245},
  doi={10.1016/s0378-3758(97)00143-2},
  note={cited By 53},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032523349&doi=10.1016%2fs0378-3758%2897%2900143-2&partnerID=40&md5=c8e8f6df184f93512106fde56597ec51},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Pointwise and sup-norm sharp adaptive estimation of functions on the sobolev classes,” Annals of statistics, vol. 26, iss. 6, pp. 2420-2469, 1998.
  [Bibtex]

  @ARTICLE{Tsybakov19982420,
  author={Tsybakov, A.B.},
  title={Pointwise and sup-norm sharp adaptive estimation of functions on the Sobolev classes},
  journal={Annals of Statistics},
  year={1998},
  volume={26},
  number={6},
  pages={2420-2469},
  doi={10.1214/aos/1024691478},
  note={cited By 56},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0032243618&doi=10.1214%2faos%2f1024691478&partnerID=40&md5=84703a07c8040bf42c4b55e689dcb56e},
  document_type={Article},
  source={Scopus},
  }

1997

• O. Catoni and R. Cerf, “The exit path of a markov chain with rare transitions,” Esaim – probability and statistics, vol. 1, pp. 95-144, 1997.
  [Bibtex]

  @ARTICLE{Catoni199795,
  author={Catoni, O. and Cerf, R.},
  title={The exit path of a Markov chain with rare transitions},
  journal={ESAIM - Probability and Statistics},
  year={1997},
  volume={1},
  pages={95-144},
  doi={10.1051/ps:1997105},
  note={cited By 31},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964346346&doi=10.1051%2fps%3a1997105&partnerID=40&md5=eb06b835ae84b80932715aa3f2d17b4a},
  document_type={Article},
  source={Scopus},
  }

• W. Hardle and A. Tsybakov, “Local polynomial estimators of the volatility function in nonparametric autoregression,” Journal of econometrics, vol. 81, iss. 1, pp. 223-242, 1997.
  [Bibtex]

  @ARTICLE{Hardle1997223,
  author={Hardle, W. and Tsybakov, A.},
  title={Local polynomial estimators of the volatility function in nonparametric autoregression},
  journal={Journal of Econometrics},
  year={1997},
  volume={81},
  number={1},
  pages={223-242},
  doi={10.1016/S0304-4076(97)00044-4},
  note={cited By 137},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0000961658&doi=10.1016%2fS0304-4076%2897%2900044-4&partnerID=40&md5=288157cff385595d031f95f9b19563b7},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Asymptotically efficient signal estimation in l2 under the general loss functions,” Problemy peredachi informatsii, vol. 33, iss. 1, pp. 94-106, 1997.
  [Bibtex]

  @ARTICLE{Tsybakov1997AsymptoticallyFunctions,
  author={A. B. Tsybakov},
  title={Asymptotically efficient signal estimation in L2 under the general loss functions},
  journal={Problemy Peredachi Informatsii},
  year={1997},
  volume={33},
  number={1},
  pages={94-106},
  }

• A. B. Tsybakov, “On nonparametric estimation of density level sets,” Annals of statistics, vol. 25, iss. 3, pp. 948-969, 1997.
  [Bibtex]

  @ARTICLE{Tsybakov1997948,
  author={Tsybakov, A.B.},
  title={On nonparametric estimation of density level sets},
  journal={Annals of Statistics},
  year={1997},
  volume={25},
  number={3},
  pages={948-969},
  doi={10.1214/aos/1069362732},
  note={cited By 123},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031478562&doi=10.1214%2faos%2f1069362732&partnerID=40&md5=e3ec0242b3c1893fc21e566f026e8b27},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Asymptotically efficient signal estimation in l2 under the general loss functions,” Problemy peredachi informatsii, vol. 33, iss. 1, pp. 94-106, 1997.
  [Bibtex]

  @ARTICLE{Tsybakov199794,
  author={Tsybakov, A.B.},
  title={Asymptotically efficient signal estimation in L2 under the general loss functions},
  journal={Problemy Peredachi Informatsii},
  year={1997},
  volume={33},
  number={1},
  pages={94-106},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030697658&partnerID=40&md5=b8da65046c51a5d090d779f7e6c5b7e1},
  document_type={Article},
  source={Scopus},
  }

1996

• O. Catoni, “The legendre transform of two replicas of the sherrington-kirkpatrick spin glass model: a free energy inequality,” Probability theory and related fields, vol. 105, iss. 3, pp. 369-392, 1996.
  [Bibtex]

  @ARTICLE{Catoni1996369,
  author={Catoni, O.},
  title={The legendre transform of two replicas of the Sherrington-Kirkpatrick spin glass model: A free energy inequality},
  journal={Probability Theory and Related Fields},
  year={1996},
  volume={105},
  number={3},
  pages={369-392},
  doi={10.1007/BF01192213},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030554435&doi=10.1007%2fBF01192213&partnerID=40&md5=bcb30b2a44526c5fb15af0ca5cfddb12},
  document_type={Article},
  source={Scopus},
  }

• O. Catoni, “Metropolis, simulated annealing, and iterated energy transformation algorithms: theory and experiments,” Journal of complexity, vol. 12, iss. 4, pp. 595-623, 1996.
  [Bibtex]

  @ARTICLE{Catoni1996595,
  author={Catoni, O.},
  title={Metropolis, simulated annealing, and iterated energy transformation algorithms: Theory and experiments},
  journal={Journal of Complexity},
  year={1996},
  volume={12},
  number={4},
  pages={595-623},
  doi={10.1006/jcom.1996.0035},
  note={cited By 26},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030498362&doi=10.1006%2fjcom.1996.0035&partnerID=40&md5=da1b7534a4b1ef6ede7b6bcdedf730e5},
  document_type={Article},
  source={Scopus},
  }

• Y. K. Golubev, B. Y. Levit, and A. B. Tsybakov, “Asymptotically efficient estimation of analytic functions in gaussian noise,” Bernoulli, vol. 2, iss. 2, pp. 167-181, 1996.
  [Bibtex]

  @ARTICLE{Golubev1996167,
  author={Golubev, Y.K. and Levit, B.Y. and Tsybakov, A.B.},
  title={Asymptotically efficient estimation of analytic functions in Gaussian noise},
  journal={Bernoulli},
  year={1996},
  volume={2},
  number={2},
  pages={167-181},
  doi={10.3150/bj/1193839222},
  note={cited By 17},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001552467&doi=10.3150%2fbj%2f1193839222&partnerID=40&md5=7e572e4ba91d7153009af7877ba49848},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov and V. D. E. C. Meulen, “Root-n consistent estimators of entropy for densities with unbounded support,” Scandinavian journal of statistics, vol. 23, iss. 1, pp. 75-83, 1996.
  [Bibtex]

  @ARTICLE{Tsybakov1996Root-NSupport,
  author={A. B. Tsybakov and E. C. Van Der Meulen},
  title={Root-n consistent estimators of entropy for densities with unbounded support},
  journal={Scandinavian Journal of Statistics},
  year={1996},
  volume={23},
  number={1},
  pages={75-83},
  }

• A. B. Tsybakov and E. C. Van Der Meulen, “Root-n consistent estimators of entropy for densities with unbounded support,” Scandinavian journal of statistics, vol. 23, iss. 1, pp. 75-83, 1996.
  [Bibtex]

  @ARTICLE{Tsybakov199675,
  author={Tsybakov, A.B. and Van Der Meulen, E.C.},
  title={Root-n consistent estimators of entropy for densities with unbounded support},
  journal={Scandinavian Journal of Statistics},
  year={1996},
  volume={23},
  number={1},
  pages={75-83},
  note={cited By 57},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030547960&partnerID=40&md5=903951e462bdccceded2949acff3c973},
  document_type={Article},
  source={Scopus},
  }

1995

• W. Hardle, B. U. Park, and A. B. Tsybakov, “Estimation of non-sharp support boundaries,” Journal of multivariate analysis, vol. 55, iss. 2, pp. 205-218, 1995.
  [Bibtex]

  @ARTICLE{Hardle1995205,
  author={Hardle, W. and Park, B.U. and Tsybakov, A.B.},
  title={Estimation of non-sharp support boundaries},
  journal={Journal of Multivariate Analysis},
  year={1995},
  volume={55},
  number={2},
  pages={205-218},
  doi={10.1006/jmva.1995.1075},
  note={cited By 59},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001707735&doi=10.1006%2fjmva.1995.1075&partnerID=40&md5=3d6ff2c221d4f99debdaecde9bcaded5},
  document_type={Article},
  source={Scopus},
  }

• W. Hardle and A. B. Tsybakov, “Additive nonparametric regression on principal components,” Journal of nonparametric statistics, vol. 5, iss. 2, pp. 157-184, 1995.
  [Bibtex]

  @ARTICLE{Hardle1995157,
  author={Hardle, W. and Tsybakov, A.B.},
  title={Additive nonparametric regression on principal components},
  journal={Journal of Nonparametric Statistics},
  year={1995},
  volume={5},
  number={2},
  pages={157-184},
  doi={10.1080/10485259508832641},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0001764049&doi=10.1080%2f10485259508832641&partnerID=40&md5=66eae1290b6ea18d9b7603d8804582e4},
  document_type={Article},
  source={Scopus},
  }

• J. S. Marron and A. B. Tsybakov, “Visual error criteria for qualitative smoothing,” Journal of the american statistical association, vol. 90, iss. 430, pp. 499-507, 1995.
  [Bibtex]

  @ARTICLE{Marron1995499,
  author={Marron, J.S. and Tsybakov, A.B.},
  title={Visual error criteria for qualitative smoothing},
  journal={Journal of the American Statistical Association},
  year={1995},
  volume={90},
  number={430},
  pages={499-507},
  doi={10.1080/01621459.1995.10476541},
  note={cited By 58},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844507395&doi=10.1080%2f01621459.1995.10476541&partnerID=40&md5=1670d8f214b4e6e044c29cfdcfe01675},
  document_type={Article},
  source={Scopus},
  }

• S. Stadtmuller and A. B. Tsybakov, “Nonparametric recursive variance estimation,” Statistics, vol. 27, iss. 1-2, pp. 55-63, 1995.
  [Bibtex]

  @ARTICLE{Stadtmuller199555,
  author={Stadtmuller, S. and Tsybakov, A.B.},
  title={Nonparametric recursive variance estimation},
  journal={Statistics},
  year={1995},
  volume={27},
  number={1-2},
  pages={55-63},
  doi={10.1080/02331889508802510},
  note={cited By 10},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-21844495548&doi=10.1080%2f02331889508802510&partnerID=40&md5=fd5f19e4025e7703270aecc0b5151b49},
  document_type={Article},
  source={Scopus},
  }

1994

• A. P. Korostelev and A. B. Tsybakov, “Asymptotic efficiency in estimation of a convex set,” Problemy peredachi informatsii, vol. 30, iss. 4, pp. 33-44, 1994.
  [Bibtex]

  @ARTICLE{Korostelev1994AsymptoticSet,
  author={A. P. Korostelev and A. B. Tsybakov},
  title={Asymptotic efficiency in estimation of a convex set},
  journal={Problemy Peredachi Informatsii},
  year={1994},
  volume={30},
  number={4},
  pages={33-44},
  }

• A. P. Korostelev and A. B. Tsybakov, “Asymptotic efficiency in estimation of a convex set,” Problemy peredachi informatsii, vol. 30, iss. 4, pp. 33-44, 1994.
  [Bibtex]

  @ARTICLE{Korostelev199433,
  author={Korostelev, A.P. and Tsybakov, A.B.},
  title={Asymptotic efficiency in estimation of a convex set},
  journal={Problemy Peredachi Informatsii},
  year={1994},
  volume={30},
  number={4},
  pages={33-44},
  note={cited By 6},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028522041&partnerID=40&md5=d4010d9a44ec460a15f1ce0b70995030},
  document_type={Article},
  source={Scopus},
  }

1993

• W. Hardle and A. B. Tsybakov, “How sensitive are average derivatives?,” Journal of econometrics, vol. 58, iss. 1-2, pp. 31-48, 1993.
  [Bibtex]

  @ARTICLE{Hardle199331,
  author={Hardle, W. and Tsybakov, A.B.},
  title={How sensitive are average derivatives?},
  journal={Journal of Econometrics},
  year={1993},
  volume={58},
  number={1-2},
  pages={31-48},
  doi={10.1016/0304-4076(93)90112-I},
  note={cited By 41},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-38249003714&doi=10.1016%2f0304-4076%2893%2990112-I&partnerID=40&md5=992691804cdb0c7a156e0a02682e35ce},
  document_type={Article},
  source={Scopus},
  }

• A. P. Korostelev and A. B. Tsybakov, “Estimating the density support and its functionals,” Problemy peredachi informatsii, vol. None, iss. 1, pp. 3-18, 1993.
  [Bibtex]

  @ARTICLE{Korostelev1993EstimatingFunctionals,
  author={A. P. Korostelev and A. B. Tsybakov},
  title={Estimating the density support and its functionals},
  journal={Problemy Peredachi Informatsii},
  year={1993},
  volume={None},
  number={1},
  pages={3-18},
  }

• A. P. Korostelev and A. B. Tsybakov, “Estimating the density support and its functionals,” Problemy peredachi informatsii, iss. 1, pp. 3-18, 1993.
  [Bibtex]

  @ARTICLE{Korostelev19933,
  author={Korostelev, A.P. and Tsybakov, A.B.},
  title={Estimating the density support and its functionals},
  journal={Problemy Peredachi Informatsii},
  year={1993},
  number={1},
  pages={3-18},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0027347887&partnerID=40&md5=7827a75ff88b43c321abf034e1905037},
  document_type={Article},
  source={Scopus},
  }

1992

• P. Dukan and A. B. Tsybakov, “Nonparametric recurrent estimation in nonlinear arx-models,” Problemy peredachi informatsii, vol. 29, iss. 4, pp. 24-34, 1992.
  [Bibtex]

  @ARTICLE{Dukan1992NonparametricArx-Models,
  author={P. Dukan and A. B. Tsybakov},
  title={Nonparametric recurrent estimation in nonlinear ARX-models},
  journal={Problemy Peredachi Informatsii},
  year={1992},
  volume={29},
  number={4},
  pages={24-34},
  }

• P. Dukan and A. B. Tsybakov, “Nonparametric recurrent estimation in nonlinear arx-models,” Problemy peredachi informatsii, vol. 29, iss. 4, pp. 24-34, 1992.
  [Bibtex]

  @ARTICLE{Dukan199224,
  author={Dukan, P. and Tsybakov, A.B.},
  title={Nonparametric recurrent estimation in nonlinear ARX-models},
  journal={Problemy Peredachi Informatsii},
  year={1992},
  volume={29},
  number={4},
  pages={24-34},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026936713&partnerID=40&md5=d3e70681d253bdf6603b3c90c0a5d9bf},
  document_type={Article},
  source={Scopus},
  }

• W. Hardle, J. Hart, J. S. Marron, and A. B. Tsybakov, “Bandwidth choice for average derivative estimation,” Journal of the american statistical association, vol. 87, iss. 417, pp. 218-226, 1992.
  [Bibtex]

  @ARTICLE{Hardle1992218,
  author={Hardle, W. and Hart, J. and Marron, J.S. and Tsybakov, A.B.},
  title={Bandwidth choice for average derivative estimation},
  journal={Journal of the American Statistical Association},
  year={1992},
  volume={87},
  number={417},
  pages={218-226},
  doi={10.1080/01621459.1992.10475195},
  note={cited By 52},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864386741&doi=10.1080%2f01621459.1992.10475195&partnerID=40&md5=cafa22e52189064d715f9784f1be79d7},
  document_type={Article},
  source={Scopus},
  }

• A. V. Nazin, B. T. Polyak, and A. B. Tsybakov, “Optimal and robust kernel algorithms for passive stochastic approximation,” Ieee transactions on information theory, vol. 38, iss. 5, pp. 1577-1583, 1992.
  [Bibtex]

  @ARTICLE{Nazin19921577,
  author={Nazin, A.V. and Polyak, B.T. and Tsybakov, A.B.},
  title={Optimal and Robust Kernel Algorithms for Passive Stochastic Approximation},
  journal={IEEE Transactions on Information Theory},
  year={1992},
  volume={38},
  number={5},
  pages={1577-1583},
  doi={10.1109/18.149511},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026916063&doi=10.1109%2f18.149511&partnerID=40&md5=4f0e81393e278cce35464c23c0775fbc},
  document_type={Article},
  source={Scopus},
  }

1991

• W. Hardle and A. B. Tsybakov, “Comment,” Journal of the american statistical association, vol. 86, iss. 414, p. 333, 1991.
  [Bibtex]

  @ARTICLE{Hardle1991333,
  author={Hardle, W. and Tsybakov, A.B.},
  title={Comment},
  journal={Journal of the American Statistical Association},
  year={1991},
  volume={86},
  number={414},
  pages={333},
  doi={10.1080/01621459.1991.10475037},
  note={cited By 8},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-84950437480&doi=10.1080%2f01621459.1991.10475037&partnerID=40&md5=c2874cec30a36e183cc23785b5cf43da},
  document_type={Note},
  source={Scopus},
  }

• A. P. Korostelev and A. B. Tsybakov, “Optimal rates of convergence of estimates in the stochastic problem of computerized tomography,” Problems of information transmission, vol. 27, iss. 1, pp. 73-81, 1991.
  [Bibtex]

  @ARTICLE{Korostelev1991OptimalTomography,
  author={A. P. Korostelev and A. B. Tsybakov},
  title={Optimal rates of convergence of estimates in the stochastic problem of computerized tomography},
  journal={Problems of information transmission},
  year={1991},
  volume={27},
  number={1},
  pages={73-81},
  }

• A. P. Korostelev and A. B. Tsybakov, “Optimal convergence rates of estimates in probabilistic statement of tomography problem,” Problemy peredachi informatsii, vol. 27, iss. 1, pp. 92-103, 1991.
  [Bibtex]

  @ARTICLE{Korostelev1991OptimalProblem,
  author={A. P. Korostelev and A. B. Tsybakov},
  title={Optimal convergence rates of estimates in probabilistic statement of tomography problem},
  journal={Problemy Peredachi Informatsii},
  year={1991},
  volume={27},
  number={1},
  pages={92-103},
  }

• A. P. Korostelev and A. B. Tsybakov, “Optimal rates of convergence of estimates in the stochastic problem of computerized tomography,” Problems of information transmission, vol. 27, iss. 1, pp. 73-81, 1991.
  [Bibtex]

  @ARTICLE{Korostelev199173,
  author={Korostelev, A.P. and Tsybakov, A.B.},
  title={Optimal rates of convergence of estimates in the stochastic problem of computerized tomography},
  journal={Problems of information transmission},
  year={1991},
  volume={27},
  number={1},
  pages={73-81},
  note={cited By 9},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0026187782&partnerID=40&md5=6930dfcca4b0a044b66b216a8bb190d8},
  document_type={Article},
  source={Scopus},
  }

• A. P. Korostelev and A. B. Tsybakov, “Optimal convergence rates of estimates in probabilistic statement of tomography problem,” Problemy peredachi informatsii, vol. 27, iss. 1, pp. 92-103, 1991.
  [Bibtex]

  @ARTICLE{Korostelev199192,
  author={Korostelev, A.P. and Tsybakov, A.B.},
  title={Optimal convergence rates of estimates in probabilistic statement of tomography problem},
  journal={Problemy Peredachi Informatsii},
  year={1991},
  volume={27},
  number={1},
  pages={92-103},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025927221&partnerID=40&md5=c03ed63e25f300ff5b862a56d6380d64},
  document_type={Article},
  source={Scopus},
  }

1990

• B. T. Polyak and A. B. Tsybakov, “Optimal order of accuracy of search algorithms in stochastic optimization,” Problems of information transmission, vol. 26, iss. 2, pp. 126-133, 1990.
  [Bibtex]

  @ARTICLE{Polyak1990OptimalOptimization,
  author={B. T. Polyak and A. B. Tsybakov},
  title={Optimal order of accuracy of search algorithms in stochastic optimization},
  journal={Problems of information transmission},
  year={1990},
  volume={26},
  number={2},
  pages={126-133},
  }

• B. T. Polyak and A. B. Tsybakov, “Optimal order of accuracy of search algorithms in stochastic optimization,” Problems of information transmission, vol. 26, iss. 2, pp. 126-133, 1990.
  [Bibtex]

  @ARTICLE{Polyak1990126,
  author={Polyak, B.T. and Tsybakov, A.B.},
  title={Optimal order of accuracy of search algorithms in stochastic optimization},
  journal={Problems of information transmission},
  year={1990},
  volume={26},
  number={2},
  pages={126-133},
  note={cited By 39},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025496781&partnerID=40&md5=1f8aafc84ab6e7180132522bdd7ce2f1},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Locally-polynomial algorithms of passive stochastic approximation,” Problems of control and information theory, vol. 19, iss. 3, pp. 181-195, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov1990Locally-PolynomialApproximation,
  author={A. B. Tsybakov},
  title={Locally-polynomial algorithms of passive stochastic approximation},
  journal={Problems of control and information theory},
  year={1990},
  volume={19},
  number={3},
  pages={181-195},
  }

• A. B. Tsybakov, “Recursive estimation of the mode of a multivariable distribution,” Problems of information transmission, vol. 26, iss. 1, pp. 31-37, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov1990RecursiveDistribution,
  author={A. B. Tsybakov},
  title={Recursive estimation of the mode of a multivariable distribution},
  journal={Problems of information transmission},
  year={1990},
  volume={26},
  number={1},
  pages={31-37},
  }

• A. B. Tsybakov, “Optimal estimation accuracy of nonsmooth images,” Problems of information transmission, vol. 25, iss. 3, pp. 180-191, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov1990OptimalImages,
  author={A. B. Tsybakov},
  title={Optimal estimation accuracy of nonsmooth images},
  journal={Problems of information transmission},
  year={1990},
  volume={25},
  number={3},
  pages={180-191},
  }

• A. B. Tsybakov, “Locally-polynomial algorithms of passive stochastic approximation,” Problems of control and information theory, vol. 19, iss. 3, pp. 181-195, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov1990181,
  author={Tsybakov, A.B.},
  title={Locally-polynomial algorithms of passive stochastic approximation},
  journal={Problems of control and information theory},
  year={1990},
  volume={19},
  number={3},
  pages={181-195},
  note={cited By 1},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025539278&partnerID=40&md5=dc9fa96db247a698965cd0a2f1b1c8a0},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Recursive estimation of the mode of a multivariable distribution,” Problems of information transmission, vol. 26, iss. 1, pp. 31-37, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov199031,
  author={Tsybakov, A.B.},
  title={Recursive estimation of the mode of a multivariable distribution},
  journal={Problems of information transmission},
  year={1990},
  volume={26},
  number={1},
  pages={31-37},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025461956&partnerID=40&md5=00e09b242bb763ab6e4dc719aa58383d},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Optimal estimation accuracy of nonsmooth images,” Problems of information transmission, vol. 25, iss. 3, pp. 180-191, 1990.
  [Bibtex]

  @ARTICLE{Tsybakov1990180,
  author={Tsybakov, A.B.},
  title={Optimal estimation accuracy of nonsmooth images},
  journal={Problems of information transmission},
  year={1990},
  volume={25},
  number={3},
  pages={180-191},
  note={cited By 5},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0025070591&partnerID=40&md5=a160ce7bc1d50a13c457919e0cdf8191},
  document_type={Article},
  source={Scopus},
  }

1987

• A. B. Tsybakov, “Transmission accuracy of a continuous signal with binary quantization.,” Problems of information transmission, vol. 23, iss. 1, pp. 56-65, 1987.
  [Bibtex]

  @ARTICLE{Tsybakov1987TransmissionQuantization.,
  author={A. B. Tsybakov},
  title={TRANSMISSION ACCURACY OF A CONTINUOUS SIGNAL WITH BINARY QUANTIZATION.},
  journal={Problems of information transmission},
  year={1987},
  volume={23},
  number={1},
  pages={56-65},
  }

• A. B. Tsybakov, “Transmission accuracy of a continuous signal with binary quantization.,” Problems of information transmission, vol. 23, iss. 1, pp. 56-65, 1987.
  [Bibtex]

  @ARTICLE{Tsybakov198756,
  author={Tsybakov, A.B.},
  title={TRANSMISSION ACCURACY OF A CONTINUOUS SIGNAL WITH BINARY QUANTIZATION.},
  journal={Problems of information transmission},
  year={1987},
  volume={23},
  number={1},
  pages={56-65},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0023254323&partnerID=40&md5=d9d4305221069fab174819ad92dc23ef},
  document_type={Article},
  source={Scopus},
  }

1986

• A. B. Tsybakov, “Robust reconstruction of functions by the local-approximation method.,” Problems of information transmission, vol. 22, iss. 2, pp. 133-146, 1986.
  [Bibtex]

  @ARTICLE{Tsybakov1986RobustMethod.,
  author={A. B. Tsybakov},
  title={ROBUST RECONSTRUCTION OF FUNCTIONS BY THE LOCAL-APPROXIMATION METHOD.},
  journal={Problems of information transmission},
  year={1986},
  volume={22},
  number={2},
  pages={133-146},
  }

• A. B. Tsybakov, “Robust reconstruction of functions by the local-approximation method.,” Problems of information transmission, vol. 22, iss. 2, pp. 133-146, 1986.
  [Bibtex]

  @ARTICLE{Tsybakov1986133,
  author={Tsybakov, A.B.},
  title={ROBUST RECONSTRUCTION OF FUNCTIONS BY THE LOCAL-APPROXIMATION METHOD.},
  journal={Problems of information transmission},
  year={1986},
  volume={22},
  number={2},
  pages={133-146},
  note={cited By 65},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0022692335&partnerID=40&md5=16be5914575bb71c214fd9d01664f1ab},
  document_type={Article},
  source={Scopus},
  }

1985

• A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov, “Rate of convergence of nonparametric estimates of maximum-likelihood type.,” Problems of information transmission, vol. 21, iss. 4, pp. 258-272, 1985.
  [Bibtex]

  @ARTICLE{Nemirovskii1985RateType.,
  author={A. S. Nemirovskii and B. T. Polyak and A. B. Tsybakov},
  title={RATE OF CONVERGENCE OF NONPARAMETRIC ESTIMATES OF MAXIMUM-LIKELIHOOD TYPE.},
  journal={Problems of information transmission},
  year={1985},
  volume={21},
  number={4},
  pages={258-272},
  }

• A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov, “Rate of convergence of nonparametric estimates of maximum-likelihood type.,” Problems of information transmission, vol. 21, iss. 4, pp. 258-272, 1985.
  [Bibtex]

  @ARTICLE{Nemirovskii1985258,
  author={Nemirovskii, A.S. and Polyak, B.T. and Tsybakov, A.B.},
  title={RATE OF CONVERGENCE OF NONPARAMETRIC ESTIMATES OF MAXIMUM-LIKELIHOOD TYPE.},
  journal={Problems of information transmission},
  year={1985},
  volume={21},
  number={4},
  pages={258-272},
  note={cited By 37},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0022140746&partnerID=40&md5=ddb36516cebdb345832e70c3830a47ad},
  document_type={Article},
  source={Scopus},
  }

1984

• A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov, “Signal processing by the nonparametric maximum-likelihood.,” Problems of information transmission, vol. 20, iss. 3, pp. 177-192, 1984.
  [Bibtex]

  @ARTICLE{Nemirovskii1984SignalMaximum-Likelihood.,
  author={A. S. Nemirovskii and B. T. Polyak and A. B. Tsybakov},
  title={SIGNAL PROCESSING BY THE NONPARAMETRIC MAXIMUM-LIKELIHOOD.},
  journal={Problems of information transmission},
  year={1984},
  volume={20},
  number={3},
  pages={177-192},
  }

• A. S. Nemirovskii, B. T. Polyak, and A. B. Tsybakov, “Signal processing by the nonparametric maximum-likelihood.,” Problems of information transmission, vol. 20, iss. 3, pp. 177-192, 1984.
  [Bibtex]

  @ARTICLE{Nemirovskii1984177,
  author={Nemirovskii, A.S. and Polyak, B.T. and Tsybakov, A.B.},
  title={SIGNAL PROCESSING BY THE NONPARAMETRIC MAXIMUM-LIKELIHOOD.},
  journal={Problems of information transmission},
  year={1984},
  volume={20},
  number={3},
  pages={177-192},
  note={cited By 4},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0021456084&partnerID=40&md5=1986a169fec158bea730fc817da8805c},
  document_type={Article},
  source={Scopus},
  }

1982

• A. B. Tsybakov, “Robust estimates of a function.,” Problems of information transmission, vol. 18, iss. 3, pp. 190-121, 1982.
  [Bibtex]

  @ARTICLE{Tsybakov1982RobustFunction.,
  author={A. B. Tsybakov},
  title={ROBUST ESTIMATES OF A FUNCTION.},
  journal={Problems of information transmission},
  year={1982},
  volume={18},
  number={3},
  pages={190-121},
  }

• A. B. Tsybakov, “Nonparametric signal estimation when there is incomplete information on the noise distribution.,” Problems of information transmission, vol. 82, iss. 2, pp. 116-130, 1982.
  [Bibtex]

  @ARTICLE{Tsybakov1982NonparametricDistribution.,
  author={A. B. Tsybakov},
  title={NONPARAMETRIC SIGNAL ESTIMATION WHEN THERE IS INCOMPLETE INFORMATION ON THE NOISE DISTRIBUTION.},
  journal={Problems of information transmission},
  year={1982},
  volume={82},
  number={2},
  pages={116-130},
  }

• A. B. Tsybakov, “Robust estimates of a function.,” Problems of information transmission, vol. 18, iss. 3, pp. 190-121, 1982.
  [Bibtex]

  @ARTICLE{Tsybakov1982190,
  author={Tsybakov, A.B.},
  title={ROBUST ESTIMATES OF A FUNCTION.},
  journal={Problems of information transmission},
  year={1982},
  volume={18},
  number={3},
  pages={190-121},
  note={cited By 12},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0020152347&partnerID=40&md5=93ae691483e8c26c16dc0aa59d082499},
  document_type={Article},
  source={Scopus},
  }

• A. B. Tsybakov, “Nonparametric signal estimation when there is incomplete information on the noise distribution.,” Problems of information transmission, vol. 82, iss. 2, pp. 116-130, 1982.
  [Bibtex]

  @ARTICLE{Tsybakov1982116,
  author={Tsybakov, A.B.},
  title={NONPARAMETRIC SIGNAL ESTIMATION WHEN THERE IS INCOMPLETE INFORMATION ON THE NOISE DISTRIBUTION.},
  journal={Problems of information transmission},
  year={1982},
  volume={82},
  number={2},
  pages={116-130},
  note={cited By 2},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0020112256&partnerID=40&md5=a8bd94ef9697e919efb1a26e5de07192},
  document_type={Article},
  source={Scopus},
  }

1981

• A. B. Tsybakov, “Error bounds for the method of minimization of empirical risk.,” Problems of information transmission, vol. 17, iss. 1, pp. 33-42, 1981.
  [Bibtex]

  @ARTICLE{Tsybakov1981ErrorRisk.,
  author={A. B. Tsybakov},
  title={ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.},
  journal={Problems of information transmission},
  year={1981},
  volume={17},
  number={1},
  pages={33-42},
  }

• A. B. Tsybakov, “Error bounds for the method of minimization of empirical risk.,” Problems of information transmission, vol. 17, iss. 1, pp. 33-42, 1981.
  [Bibtex]

  @ARTICLE{Tsybakov198133,
  author={Tsybakov, A.B.},
  title={ERROR BOUNDS FOR THE METHOD OF MINIMIZATION OF EMPIRICAL RISK.},
  journal={Problems of information transmission},
  year={1981},
  volume={17},
  number={1},
  pages={33-42},
  note={cited By 0},
  url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-0019342752&partnerID=40&md5=f5b55c73fb18db6c2ff2e253288dbac6},
  document_type={Article},
  source={Scopus},
  }

• O. Church, E. Derclaye, and G. Stupfler, “Design litigation in the eu member states: are overlaps with other intellectual property rights and unfair competition problematic and are smes benefitting from the eu design legal framework?,” European law review.
  [Bibtex]

  @ARTICLE{ ,
  title={Design litigation in the EU Member States: Are overlaps with other intellectual property rights and unfair competition problematic and are SMEs benefitting from the EU design legal framework?},
  abstract={Genuine overlaps (several intellectual property rights (IPR) applying to the same intellectual effort) create overprotection. There is hardly any empirical legal research done on how claimants have litigated at national level not only on their design rights but also on another IPR or unfair competition. This article fills this gap by examining the decisions on all types of design rights (registered and unregistered) from the courts of the 28 Member States since the entry into force of the Design Directive and Design Regulation until August 2017, where claimants also sued on the basis of another IPR namely patents, utility models, trade marks, copyright, and the tort of slavish imitation. The article also determines the proportion of small and medium-sized enterprises and big companies who litigate and their rate of winning. This gives the extent of the use of the EU design right system by type of company and an indication of its success.},
  issn={0307-5400},
  journal={European Law Review},
  note={Once published, add set statement to Additional Information: This is a pre-copyedited, author-produced version of an article accepted for publication in European Law Review following peer review. The definitive published version [insert complete citation information here] is available online on Westlaw UK.},
  publicationstatus={Accepted},
  publisher={Sweet and Maxwell},
  url={https://nottingham-repository.worktribe.com/output/4844427},
  author={Church, Oliver and Derclaye, Estelle and Stupfler, Gilles}
  }