Philippe Rigollet
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Complexity theoretic lower bounds for sparse principal component detection
Q Berthet, P Rigollet
Conference on Learning Theory, 1046-1066, 2013
298*2013
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
J Altschuler, J Weed, P Rigollet
arXiv preprint arXiv:1705.09634, 2017
2612017
Optimal detection of sparse principal components in high dimension
Q Berthet, P Rigollet
Annals of Statistics 41 (4), 1780-1815, 2013
2572013
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
246*2019
Exponential screening and optimal rates of sparse estimation
P Rigollet, A Tsybakov
The Annals of Statistics 39 (2), 731-771, 2011
2452011
Learning by mirror averaging
A Juditsky, P Rigollet, AB Tsybakov
The Annals of Statistics 36 (5), 2183-2206, 2008
1552008
Generalization error bounds in semi-supervised classification under the cluster assumption
P Rigollet
Arxiv preprint math/0604233, 2006
1462006
High dimensional statistics
P Rigollet, JC Hütter
Lecture notes for course 18S997 813, 814, 2015
136*2015
Sparse estimation by exponential weighting
P Rigollet, A Tsybakov
Statistical Science 27 (4), 558-575, 2012
1252012
Linear and convex aggregation of density estimators
P Rigollet, AB Tsybakov
Mathematical Methods of Statistics 16 (3), 260-280, 2007
1242007
Optimal rates for plug-in estimators of density level sets
P Rigollet, R Vert
Bernoulli 15 (4), 1154-1178, 2009
1232009
The multi-armed bandit problem with covariates
V Perchet, P Rigollet
Annals of statistics 41 (2), 693-721, 2013
1222013
Batched bandit problems
V Perchet, P Rigollet, S Chassang, E Snowberg
Annals of Statistics 44 (2), 660-681, 2016
942016
Bounded regret in stochastic multi-armed bandits
S Bubeck, V Perchet, P Rigollet
Conference on Learning Theory, 122-134, 2013
892013
Nonparametric bandits with covariates
P Rigollet, A Zeevi
arXiv preprint arXiv:1003.1630, 2010
872010
Kullback-Leibler aggregation and misspecified generalized linear models
P Rigollet
Arxiv preprint arXiv:0911.2919, 2009
752009
Neyman-pearson classification, convexity and stochastic constraints
P Rigollet, X Tong
Journal of Machine Learning Research, 2011
712011
Optimal rates for total variation denoising
JC Hütter, P Rigollet
Conference on Learning Theory, 1115-1146, 2016
642016
Deviation optimal learning using greedy -aggregation
D Dai, P Rigollet, T Zhang
The Annals of Statistics 40 (3), 1878-1905, 2012
452012
Online learning in repeated auctions
J Weed, V Perchet, P Rigollet
Conference on Learning Theory, 1562-1583, 2016
442016
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