Philippe Rigollet

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	All	Since 2016
Citations	3240	2393
h-index	28	27
i10-index	38	36

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20072008200920102011201220132014201520162017201820192020202127 23 39 45 55 103 122 178 216 211 307 418 553 779 114

Co-authors

Jonathan Niles-WeedNew York UniversityVerified email at cims.nyu.edu
Jan-Christian HütterBroad InstituteVerified email at broadinstitute.org
Vianney PerchetCrest, ENSAE & Criteo AI LabVerified email at normalesup.org
Quentin BerthetGoogle Research, Brain team ParisVerified email at google.com
Cheng MaoGeorgia Institute of TechnologyVerified email at math.gatech.edu
Anatoli JuditskyProfessor UGAVerified email at univ-grenoble-alpes.fr
Brian ClearyBroad Fellow, Broad InstituteVerified email at broadinstitute.org
Thibaut Le GouicInstitut de Mathématiques de Marseille, Massachusetts Institute of TechnologyVerified email at math.cnrs.fr
Afonso S. BandeiraProfessor of Mathematics, ETH ZurichVerified email at math.ethz.ch
Sinho ChewiPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Erik SnowbergCanada Excellence Research Chair, Vancouver School of Economics, University of British ColumbiaVerified email at mail.ubc.ca
Sylvain ChassangProfessor of Economics, Princeton UniversityVerified email at princeton.edu
Austin J. StrommeMITVerified email at mit.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Xin TongAssistant Professor, Department of Data Sciences and Operations, University of Southern CaliforniaVerified email at marshall.usc.edu
Ankur MoitraAssociate Professor of Applied Mathematics, MITVerified email at mit.edu
Victor-Emmanuel BrunelENSAE-CREST, Assistant Professor in StatisticsVerified email at ensae.fr
John C UrschelPhD Student, MITVerified email at mit.edu
Tyler MaunuMassachusetts Institute of TechologyVerified email at mit.edu
Sebastien BubeckSr Principal Research Manager, ML Foundations group, Microsoft ResearchVerified email at microsoft.com

Philippe Rigollet

Massachusetts Institute of Technology

Verified email at math.mit.edu - Homepage

Statistics Machine Learning Optimal Transport


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Complexity theoretic lower bounds for sparse principal component detection Q Berthet, P Rigollet Conference on Learning Theory, 1046-1066, 2013	289*	2013
Optimal detection of sparse principal components in high dimension Q Berthet, P Rigollet Annals of Statistics 41 (4), 1780-1815, 2013	250	2013
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration J Altschuler, J Weed, P Rigollet arXiv preprint arXiv:1705.09634, 2017	246	2017
Exponential screening and optimal rates of sparse estimation P Rigollet, A Tsybakov The Annals of Statistics 39 (2), 731-771, 2011	241	2011
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming G Schiebinger, J Shu, M Tabaka, B Cleary, V Subramanian, A Solomon, ... Cell 176 (4), 928-943. e22, 2019	219*	2019
Learning by mirror averaging A Juditsky, P Rigollet, AB Tsybakov The Annals of Statistics 36 (5), 2183-2206, 2008	154	2008
Generalization error bounds in semi-supervised classification under the cluster assumption P Rigollet Arxiv preprint math/0604233, 2006	142	2006
Sparse estimation by exponential weighting P Rigollet, A Tsybakov Statistical Science 27 (4), 558-575, 2012	125	2012
High dimensional statistics P Rigollet, JC Hütter Lecture notes for course 18S997 813, 814, 2015	123*	2015
Linear and convex aggregation of density estimators P Rigollet, AB Tsybakov Mathematical Methods of Statistics 16 (3), 260-280, 2007	123	2007
Optimal rates for plug-in estimators of density level sets P Rigollet, R Vert Bernoulli 15 (4), 1154-1178, 2009	120	2009
The multi-armed bandit problem with covariates V Perchet, P Rigollet Annals of statistics 41 (2), 693-721, 2013	115	2013
Batched bandit problems V Perchet, P Rigollet, S Chassang, E Snowberg Annals of Statistics 44 (2), 660-681, 2016	86	2016
Bounded regret in stochastic multi-armed bandits S Bubeck, V Perchet, P Rigollet Conference on Learning Theory, 122-134, 2013	85	2013
Nonparametric bandits with covariates P Rigollet, A Zeevi arXiv preprint arXiv:1003.1630, 2010	83	2010
Kullback-Leibler aggregation and misspecified generalized linear models P Rigollet Arxiv preprint arXiv:0911.2919, 2009	73	2009
Neyman-pearson classification, convexity and stochastic constraints P Rigollet, X Tong Journal of Machine Learning Research, 2011	70	2011
Optimal rates for total variation denoising JC Hütter, P Rigollet Conference on Learning Theory, 1115-1146, 2016	61	2016
Deviation optimal learning using greedy -aggregation D Dai, P Rigollet, T Zhang The Annals of Statistics 40 (3), 1878-1905, 2012	45	2012
Optimal rates of statistical seriation N Flammarion, C Mao, P Rigollet Bernoulli 25 (1), 623-653, 2019	43	2019

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