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Philippe Rigollet

Massachusetts Institute of Technology (per OpenAlex) · ORCID · OpenAlex

35 papers in scope · 35 published · 1 on the econ.EM arXiv · 1,354 citations · h-index 15 (over the papers listed here)

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Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 35)

On the sample complexity of entropic optimal transport
published2025 · The Annals of Statistics · 5 citations · first circulated 2022
with Austin J. Stromme
On the approximation accuracy of Gaussian variational inference
published2024 · The Annals of Statistics · 11 citations · first circulated 2023
with Anya Katsevich
Learning Gaussian mixtures using the Wasserstein–Fisher–Rao gradient flow
published2024 · The Annals of Statistics · 9 citations · first circulated 2023
with Yuling Yan, Kaizheng Wang
An Algorithmic Solution to the Blotto Game Using Multimarginal Couplings
published2024 · Operations Research
with Vianney Perchet, Thibaut Le Gouic
published2024 · Journal of Causal Inference · 8 citations · first circulated 2021
Estimation of Wasserstein distances in the Spiked Transport Model
published2022 · Bernoulli · 71 citations · first circulated 2019
with Jonathan Niles-Weed
An Algorithmic Solution to the Blotto Game using Multi-marginal Couplings
published2022 · Proceedings of the 23rd ACM Conference on Economics and Computation · 4 citations
with Vianney Perchet, Thibaut Le Gouic
Minimax estimation of smooth optimal transport maps
published2021 · The Annals of Statistics · 16 citations · first circulated 2019
with Jan-Christian Hütter
Estimation of Monge matrices
published2020 · Bernoulli · 2 citations · first circulated 2019
with Jan-Christian Hütter, Cheng Mao, Elina Robeva
Gradient descent algorithms for Bures-Wasserstein barycenters
published2020 · Conference on Learning Theory · 28 citations
with Sinho Chewi, Tyler Maunu, Austin J. Stromme
Balancing Gaussian vectors in high dimension
published2020 · Conference on Learning Theory · 6 citations · first circulated 2019
with Paxton Turner, Raghu Meka
Statistical and Computational Aspects of Learning with Complex Structure
published2020 · Oberwolfach Reports
with Sara van de Geer, Markus Reiß
Exponential ergodicity of mirror-Langevin diffusions
published2020 · Neural Information Processing Systems · 15 citations
with Sinho Chewi, Thibaut Le Gouic, Lu Chen, Tyler Maunu, Austin J. Stromme
Optimal rates for estimation of two-dimensional totally positive distributions
published2020 · Electronic Journal of Statistics
with Jan-Christian Hütter, Cheng Mao, Elina Robeva
Exact recovery in the Ising blockmodel
published2019 · The Annals of Statistics · 3 citations
with Quentin Berthet, Piyush Srivastava
Uncoupled isotonic regression via minimum Wasserstein deconvolution
published2019 · Information and Inference A Journal of the IMA · 4 citations
with Jonathan Weed
A Conversation with Dick Dudley
published2019 · Statistical Science
with Vladimir Koltchinskii, Richard Nickl
Optimal rates of statistical seriation
published2018 · Bernoulli · 27 citations · first circulated 2016
with Nicolas Flammarion, Cheng Mao
Entropic optimal transport is maximum-likelihood deconvolution
published2018 · Comptes Rendus Mathématique · 3 citations
with Jonathan Weed
Conference on Learning Theory 2018: Preface
published2018 · Conference on Learning Theory
with Sébastien Bubeck
Minimax Rates and Efficient Algorithms for Noisy Sorting
published2018 · Algorithmic Learning Theory · 15 citations · first circulated 2017
with Cheng Mao, Jonathan Weed
Optimal rates for total variation denoising
published2016 · Conference on Learning Theory · 65 citations
with Jan-Christian span tter, Jan-Christian Hütter
Batched bandit problems
published2016 · The Annals of Statistics · 132 citations · first circulated 2015
with Vianney Perchet, Sylvain Chassang, Erik Snowberg
Comment on “Hypothesis testing by convex optimization”
published2015 · Electronic Journal of Statistics
Aggregation of affine estimators
published2014 · Electronic Journal of Statistics · 18 citations · first circulated 2013
with Dong Dai, Lucy Xia, Tong Zhang
Optimal detection of sparse principal components in high dimension
published2013 · The Annals of Statistics · 263 citations
with Quentin Berthet
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection
published2013 · Conference on Learning Theory · 198 citations
with Quentin Berthet
Bounded regret in stochastic multi-armed bandits
published2013 · Conference on Learning Theory · 46 citations
with Sébastien Bubeck, Vianney Perchet
Deviation optimal learning using greedy $Q$-aggregation
published2012 · The Annals of Statistics · 50 citations
with Dong Dai, Tong Zhang
Discussion of minimax estimation of large covariance matrices under L1-Norm
published2012 · Statistica Sinica · 3 citations
Exponential Screening and optimal rates of sparse estimation
published2011 · The Annals of Statistics · 136 citations · first circulated 2010
with Alexandre B. Tsybakov, Alexandre Tsybakov
Nonparametric Bandits with Covariates
published2010 · Conference on Learning Theory · 76 citations
with Assaf Zeevi
Optimal rates for plug-in estimators of density level sets
published2009 · Bernoulli · 108 citations
with Régis Vert
Adaptive density estimation using the blockwise Stein method
published2006 · Bernoulli · 32 citations
Inégalités d'oracle pour l'estimation d'une densité de probabilité
published2004 · Comptes Rendus Mathématique

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.