← Authors

Philippe Rigollet

32 papers · 2007–2024 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (17) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ’Ž Century Club (32) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (154)

Conferences

COLT (12) NIPS (8) AISTATS (7) JMLR (2) ALT (1) ICML (1) UAI (1)

Top co-authors

Sinho Chewi (8) Thibaut Le Gouic (7) Chen Lu (5) Tyler Maunu (4) Paxton Turner (3) Jonathan Weed (3) Jingbo Liu (3) Vianney Perchet (3) George Stepaniants (2) Ankur Moitra (2)

Research topics

Statistics (1)

Keywords

optimal transport (6) markov chain monte carlo (3) wasserstein distance (3) regret bound (3) log-concave distribution (3) minimax rate (2) multi-armed bandit (2) representation learning (2) query complexity (2) convex loss (2) probability measure (2) density estimation (2) stochastic optimization (2) graphical model (2) binary classification (2) anomaly detection (2) variational inference (2) bayesian inference (2) determinantal point process (2) rejection sampling (2)

Papers

Clustering in Causal Attention Masking NIPS 2024
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023
The emergence of clusters in self-attention dynamics NIPS 2023
Variational inference via Wasserstein gradient flows NIPS 2022
Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022
The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022
GULP: a prediction-based metric between representations NIPS 2022
Efficient Interpolation of Density Estimators AISTATS 2021
Fast and Smooth Interpolation on Wasserstein Space AISTATS 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021
A Statistical Perspective on Coreset Density Estimation AISTATS 2021
Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NIPS 2020
Exponential ergodicity of mirror-Langevin diffusions NIPS 2020
Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020
Balancing Gaussian vectors in high dimension COLT 2020
Power analysis of knockoff filters for correlated designs NIPS 2019
Statistical Optimal Transport via Factored Couplings AISTATS 2019
Conference on Learning Theory 2018: Preface COLT 2018
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
Minimax Rates and Efficient Algorithms for Noisy Sorting ALT 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NIPS 2017
Rates of estimation for determinantal point processes COLT 2017
Learning Determinantal Point Processes with Moments and Cycles ICML 2017
Optimal rates for total variation denoising COLT 2016
Online learning in repeated auctions COLT 2016
Batched Bandit Problems COLT 2015
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013
Bounded regret in stochastic multi-armed bandits COLT 2013
Neyman-Pearson classification under a strict constraint COLT 2011
Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011
Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007