Philippe Rigollet

Cited by

	All	Since 2018
Citations	5689	4322
h-index	37	34
i10-index	57	52

1100

550

275

825

2007200820092010201120122013201420152016201720182019202020212022202327 21 40 47 56 100 122 182 216 206 314 403 510 673 864 1011 859

Public access

View all

37 articles

1 article

available

not available

Based on funding mandates

Co-authors

Jonathan Niles-WeedNew York UniversityVerified email at cims.nyu.edu
Jan-Christian HütterGenentechVerified email at gene.com
Vianney PerchetCrest, ENSAE & Criteo AI LabVerified email at normalesup.org
Thibaut Le GouicInstitut de Mathématiques de MarseilleVerified email at math.cnrs.fr
Sinho ChewiInstitute for Advanced StudyVerified email at ias.edu
Quentin BerthetGoogle DeepMind, ParisVerified email at google.com
Cheng MaoGeorgia Institute of TechnologyVerified email at math.gatech.edu
Austin J. StrommeMITVerified email at mit.edu
Brian ClearyAssistant Professor, Boston UniversityVerified email at bu.edu
Tyler MaunuBrandeis UniversityVerified email at brandeis.edu
Anatoli JuditskyProfessor at Université Grenoble-AlpesVerified email at univ-grenoble-alpes.fr
Afonso S. BandeiraProfessor of Mathematics, ETH ZurichVerified email at math.ethz.ch
Erik SnowbergDavid Eccles School of Business, University of UtahVerified email at eccles.utah.edu
Sylvain ChassangProfessor of Economics, Princeton UniversityVerified email at princeton.edu
Ankur MoitraNorbert Wiener Professor of Mathematics, MITVerified email at mit.edu
Victor-Emmanuel BrunelENSAE-CREST, Professor in StatisticsVerified email at ensae.fr
John C UrschelMITVerified email at mit.edu
Xin TongAssociate Professor, Department of Data Sciences and Operations, University of Southern CaliforniaVerified email at marshall.usc.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Mor NitzanThe Hebrew University of JerusalemVerified email at mail.huji.ac.il

Philippe Rigollet

Massachusetts Institute of Technology

Verified email at math.mit.edu - Homepage

Statistics Machine Learning Optimal Transport


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	640*	2019
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration J Altschuler, J Niles-Weed, P Rigollet Advances in neural information processing systems 30, 2017	542	2017
Complexity theoretic lower bounds for sparse principal component detection Q Berthet, P Rigollet Conference on learning theory, 1046-1066, 2013	361*	2013
Optimal detection of sparse principal components in high dimension Q Berthet, P Rigollet	319	2013
Exponential screening and optimal rates of sparse estimation P Rigollet, A Tsybakov The Annals of Statistics 39 (2), 731-771, 2011	270	2011
High dimensional statistics P Rigollet, JC Hütter Lecture notes for course 18S997 813 (814), 46, 2015	260*	2015
Generalization error bounds in semi-supervised classification under the cluster assumption P Rigollet Arxiv preprint math/0604233, 2006	203	2006
Batched bandit problems V Perchet, P Rigollet, S Chassang, E Snowberg	196	2016
The multi-armed bandit problem with covariates V Perchet, P Rigollet	183	2013
Learning by mirror averaging A Juditsky, P Rigollet, AB Tsybakov The Annals of Statistics 36 (5), 2183-2206, 2008	182	2008
Optimal rates for plug-in estimators of density level sets P Rigollet, R Vert Bernoulli 15 (4), 1154-1178, 2009	145	2009
Linear and convex aggregation of density estimators P Rigollet, AB Tsybakov Mathematical Methods of Statistics 16, 260-280, 2007	140	2007
Sparse estimation by exponential weighting P Rigollet, A Tsybakov Statistical Science 27 (4), 558-575, 2012	139	2012
Nonparametric bandits with covariates P Rigollet, A Zeevi arXiv preprint arXiv:1003.1630, 2010	127	2010
Bounded regret in stochastic multi-armed bandits S Bubeck, V Perchet, P Rigollet Conference on Learning Theory, 122-134, 2013	107	2013
Neyman-pearson classification, convexity and stochastic constraints P Rigollet, X Tong Journal of Machine Learning Research, 2011	103	2011
Kullback-Leibler aggregation and misspecified generalized linear models P Rigollet Arxiv preprint arXiv:0911.2919, 2009	98	2009
Optimal rates for total variation denoising JC Hütter, P Rigollet Conference on Learning Theory, 1115-1146, 2016	97	2016
Online learning in repeated auctions J Weed, V Perchet, P Rigollet Conference on Learning Theory, 1562-1583, 2016	90	2016
Estimation of wasserstein distances in the spiked transport model J Niles-Weed, P Rigollet Bernoulli 28 (4), 2663-2688, 2022	81	2022

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors