Rigollet, Philippe

35 publications

TMLR 2025 Gaussian Mixture Layers for Neural Networks Sinho Chewi, Philippe Rigollet, Yuling Yan

NeurIPS 2025 Normalization in Attention Dynamics Nikita Karagodin, Shu Ge, Yury Polyanskiy, Philippe Rigollet

NeurIPS 2024 Clustering in Causal Attention Masking Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet

AISTATS 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet

NeurIPS 2023 The Emergence of Clusters in Self-Attention Dynamics Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy, Philippe Rigollet

AISTATS 2022 Rejection Sampling from Shape-Constrained Distributions in Sublinear Time Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet

NeurIPS 2022 GULP: A Prediction-Based Metric Between Representations Enric Boix-Adsera, Hannah Lawrence, George Stepaniants, Philippe Rigollet

COLT 2022 The Query Complexity of Sampling from Strongly Log-Concave Distributions in One Dimension Sinho Chewi, Patrik R Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet

NeurIPS 2022 Variational Inference via Wasserstein Gradient Flows Marc Lambert, Sinho Chewi, Francis R. Bach, Silvère Bonnabel, Philippe Rigollet

AISTATS 2021 A Statistical Perspective on Coreset Density Estimation Paxton Turner, Jingbo Liu, Philippe Rigollet

AISTATS 2021 Efficient Interpolation of Density Estimators Paxton Turner, Jingbo Liu, Philippe Rigollet

AISTATS 2021 Fast and Smooth Interpolation on Wasserstein Space Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin Stromme

COLT 2021 Optimal Dimension Dependence of the Metropolis-Adjusted Langevin Algorithm Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet

COLT 2020 Balancing Gaussian Vectors in High Dimension Paxton Turner, Raghu Meka, Philippe Rigollet

UAI 2020 Estimation Rates for Sparse Linear Cyclic Causal Models Jan-Christian Huetter, Philippe Rigollet

NeurIPS 2020 Exponential Ergodicity of Mirror-Langevin Diffusions Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin Stromme

COLT 2020 Gradient Descent Algorithms for Bures-Wasserstein Barycenters Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme

NeurIPS 2020 SVGD as a Kernelized Wasserstein Gradient Flow of the Chi-Squared Divergence Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet

NeurIPS 2019 Power Analysis of Knockoff Filters for Correlated Designs Jingbo Liu, Philippe Rigollet

AISTATS 2019 Statistical Optimal Transport via Factored Couplings Aden Forrow, Jan-Christian Hütter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed

COLT 2018 Conference on Learning Theory 2018: Preface Sébastien Bubeck, Philippe Rigollet

COLT 2018 Conference on Learning Theory, COLT 2018, Stockholm, Sweden, 6-9 July 2018 Sébastien Bubeck, Vianney Perchet, Philippe Rigollet

ALT 2018 Minimax Rates and Efficient Algorithms for Noisy Sorting Cheng Mao, Jonathan Weed, Philippe Rigollet

AISTATS 2018 Teacher Improves Learning by Selecting a Training Subset Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu

ICML 2017 Learning Determinantal Point Processes with Moments and Cycles John Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet

NeurIPS 2017 Near-Linear Time Approximation Algorithms for Optimal Transport via Sinkhorn Iteration Jason Altschuler, Jonathan Niles-Weed, Philippe Rigollet

COLT 2017 Rates of Estimation for Determinantal Point Processes Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John Urschel

COLT 2016 Online Learning in Repeated Auctions Jonathan Weed, Vianney Perchet, Philippe Rigollet

COLT 2015 Batched Bandit Problems Vianney Perchet, Philippe Rigollet, Sylvain Chassang, Erik Snowberg

COLT 2013 Bounded Regret in Stochastic Multi-Armed Bandits Sébastien Bubeck, Vianney Perchet, Philippe Rigollet

COLT 2013 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection Quentin Berthet, Philippe Rigollet

COLT 2011 Neyman-Pearson Classification Under a Strict Constraint Philippe Rigollet, Xin Tong

JMLR 2011 Neyman-Pearson Classification, Convexity and Stochastic Constraints Philippe Rigollet, Xin Tong

COLT 2010 Nonparametric Bandits with Covariates Philippe Rigollet, Assaf Zeevi

JMLR 2007 Generalization Error Bounds in Semi-Supervised Classification Under the Cluster Assumption Philippe Rigollet