Philippe Rigollet
Title
Cited by
Cited by
Year
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
J Altschuler, J Weed, P Rigollet
arXiv preprint arXiv:1705.09634, 2017
3252017
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
314*2019
Complexity theoretic lower bounds for sparse principal component detection
Q Berthet, P Rigollet
Conference on Learning Theory, 1046-1066, 2013
314*2013
Optimal detection of sparse principal components in high dimension
Q Berthet, P Rigollet
The Annals of Statistics 41 (4), 1780-1815, 2013
2742013
Exponential screening and optimal rates of sparse estimation
P Rigollet, A Tsybakov
The Annals of Statistics 39 (2), 731-771, 2011
2492011
High dimensional statistics
P Rigollet, JC Hütter
Lecture notes for course 18S997 813, 814, 2015
169*2015
Generalization error bounds in semi-supervised classification under the cluster assumption
P Rigollet
Arxiv preprint math/0604233, 2006
1642006
Learning by mirror averaging
A Juditsky, P Rigollet, AB Tsybakov
The Annals of Statistics 36 (5), 2183-2206, 2008
1632008
The multi-armed bandit problem with covariates
V Perchet, P Rigollet
The Annals of Statistics 41 (2), 693-721, 2013
1362013
Optimal rates for plug-in estimators of density level sets
P Rigollet, R Vert
Bernoulli 15 (4), 1154-1178, 2009
1312009
Sparse estimation by exponential weighting
P Rigollet, A Tsybakov
Statistical Science 27 (4), 558-575, 2012
1282012
Linear and convex aggregation of density estimators
P Rigollet, AB Tsybakov
Mathematical Methods of Statistics 16 (3), 260-280, 2007
1252007
Batched bandit problems
V Perchet, P Rigollet, S Chassang, E Snowberg
The Annals of Statistics 44 (2), 660-681, 2016
1232016
Bounded regret in stochastic multi-armed bandits
S Bubeck, V Perchet, P Rigollet
Conference on Learning Theory, 122-134, 2013
982013
Nonparametric bandits with covariates
P Rigollet, A Zeevi
arXiv preprint arXiv:1003.1630, 2010
932010
Neyman-pearson classification, convexity and stochastic constraints
P Rigollet, X Tong
Journal of Machine Learning Research, 2011
802011
Optimal rates for total variation denoising
JC Hütter, P Rigollet
Conference on Learning Theory, 1115-1146, 2016
772016
Kullback-Leibler aggregation and misspecified generalized linear models
P Rigollet
Arxiv preprint arXiv:0911.2919, 2009
772009
Entropic optimal transport is maximum-likelihood deconvolution
P Rigollet, J Weed
Comptes Rendus Mathematique 356 (11-12), 1228-1235, 2018
552018
Online learning in repeated auctions
J Weed, V Perchet, P Rigollet
Conference on Learning Theory, 1562-1583, 2016
522016
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Articles 1–20