2026 Philippe Rigollet: Engineering and Technology Researcher – H-Index, Publications & Awards

Overview

Philippe Rigollet is affiliated with MIT in the United States and works primarily in the fields of Mathematics and Computer Science. Their research focuses on statistics, probability, artificial intelligence, applied mathematics, molecular biology, and computational theory and mathematics.

The scientist's work covers several specific topics including:

Markov Chains and Monte Carlo Methods
Statistical Methods and Inference
Geometric Analysis and Curvature Flows
Bayesian Methods and Mixture Models
Topological and Geometric Data Analysis
Advanced Neuroimaging Techniques and Applications
Gaussian Processes and Bayesian Inference

Philippe Rigollet has published extensively, with a significant number of papers appearing in venues such as:

arXiv (Cornell University)
The Annals of Statistics
Bernoulli
eLife
Mathematical Statistics and Learning

Among recent publications are:

Estimation of Wasserstein distances in the Spiked Transport Model, 2022, Bernoulli
Gradient descent algorithms for Bures-Wasserstein barycenters, 2020, arXiv (Cornell University)
Optimal rates of estimation for multi-reference alignment, 2020, Mathematical Statistics and Learning
Minimax estimation of smooth optimal transport maps, 2021, The Annals of Statistics
Exponential ergodicity of mirror-Langevin diffusions, 2020, arXiv (Cornell University)

Their frequent coauthors include:

Sinho Chewi
Thibaut Le Gouic
Jonathan Niles-Weed
Yury Polyanskiy
George Stepaniants

Philippe Rigollet has also contributed to book publications. One such work is titled Statistical Optimal Transport, scheduled for release in 2025 by Springer Nature.

Best Publications

Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming.

Geoffrey Schiebinger;Geoffrey Schiebinger;Jian Shu;Jian Shu;Marcin Tabaka;Brian Cleary;Brian Cleary

628
Citations
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

Jason Max Altschuler;Jonathan Weed;Philippe Rigollet

348
Citations
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection

Quentin Berthet;Philippe Rigollet

304
Citations
Optimal detection of sparse principal components in high dimension

Quentin Berthet;Philippe Rigollet

290
Citations
Exponential Screening and optimal rates of sparse estimation

Philippe Rigollet;Alexandre Tsybakov

265
Citations
Learning by mirror averaging

Anatoli Juditsky;Philippe Rigollet;Alexandre Tsybakov

167
Citations
The multi-armed bandit problem with covariates

Vianney Perchet;Philippe Rigollet

165
Citations
Batched bandit problems

Vianney Perchet;Philippe Rigollet;Sylvain Chassang;Erik Snowberg

158
Citations
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption

Philippe Rigollet

157
Citations
Optimal rates for plug-in estimators of density level sets

Philippe Rigollet;Régis Vert

144
Citations
Sparse Estimation by Exponential Weighting

Philippe Rigollet;Alexandre B. Tsybakov

138
Citations
Linear and convex aggregation of density estimators

Philippe Rigollet;Alexandre Tsybakov

128
Citations
Computational Lower Bounds for Sparse PCA

Quentin Berthet;Philippe Rigollet

112
Citations
Bounded regret in stochastic multi-armed bandits

Sébastien Bubeck;Vianney Perchet;Philippe Rigollet

101
Citations
Nonparametric Bandits with Covariates

Philippe Rigollet;Assaf Zeevi

93
Citations
Neyman-Pearson Classification, Convexity and Stochastic Constraints

Philippe Rigollet;Xin Tong

92
Citations
Optimal rates for total variation denoising

Jan-Christian span>tter;Philippe Rigollet

80
Citations
Estimation of Wasserstein distances in the Spiked Transport Model

Jonathan Niles-Weed;Philippe Rigollet

55
Citations
Minimax estimation of smooth optimal transport maps

Jan-Christian Hütter;Philippe Rigollet

45
Citations
Gradient descent algorithms for Bures-Wasserstein barycenters

Sinho Chewi;Tyler Maunu;Philippe Rigollet;Austin J. Stromme

29
Citations

Frequent Co-Authors

Eric S. Lander Broad Institute

Aviv Regev Genentech

Afonso S. Bandeira ETH Zurich

Konrad Hochedlinger Harvard University

Rudolf Jaenisch MIT

Assaf Zeevi Columbia University

External Links

Personal website of Philippe Rigollet

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