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Philippe Rigollet
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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
9222019
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
7232017
Complexity theoretic lower bounds for sparse principal component detection
Q Berthet, P Rigollet
Conference on learning theory, 1046-1066, 2013
391*2013
Optimal detection of sparse principal components in high dimension
Q Berthet, P Rigollet
3612013
High-dimensional statistics
P Rigollet, JC Hütter
arXiv preprint arXiv:2310.19244, 2023
356*2023
Exponential screening and optimal rates of sparse estimation
P Rigollet, A Tsybakov
The Annals of Statistics 39 (2), 731-771, 2011
2842011
Batched bandit problems
V Perchet, P Rigollet, S Chassang, E Snowberg
2762016
Generalization error bounds in semi-supervised classification under the cluster assumption
P Rigollet
Arxiv preprint math/0604233, 2006
2282006
The multi-armed bandit problem with covariates
V Perchet, P Rigollet
2172013
Learning by mirror averaging
A Juditsky, P Rigollet, AB Tsybakov
The Annals of Statistics 36 (5), 2183-2206, 2008
1942008
Optimal rates for plug-in estimators of density level sets
P Rigollet, R Vert
Bernoulli 15 (4), 1154-1178, 2009
1522009
Linear and convex aggregation of density estimators
P Rigollet, AB Tsybakov
Mathematical Methods of Statistics 16, 260-280, 2007
1482007
Sparse estimation by exponential weighting
P Rigollet, A Tsybakov
Statistical Science 27 (4), 558-575, 2012
1452012
Nonparametric bandits with covariates
P Rigollet, A Zeevi
arXiv preprint arXiv:1003.1630, 2010
1452010
Minimax estimation of smooth optimal transport maps
JC Hütter, P Rigollet
1412021
Estimation of Wasserstein distances in the spiked transport model
J Niles-Weed, P Rigollet
Bernoulli 28 (4), 2663-2688, 2022
1272022
Neyman-pearson classification, convexity and stochastic constraints
P Rigollet, X Tong
Journal of machine learning research, 2011
1252011
Gradient descent algorithms for Bures-Wasserstein barycenters
S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory, 1276-1304, 2020
1202020
Bounded regret in stochastic multi-armed bandits
S Bubeck, V Perchet, P Rigollet
Conference on Learning Theory, 122-134, 2013
1202013
Optimal rates for total variation denoising
JC Hütter, P Rigollet
Conference on Learning Theory, 1115-1146, 2016
1122016
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Artigos 1–20