Philippe Rigollet
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
5
Active years
2010–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AISTATS | Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery. | Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet |
| 2022 | AISTATS | Rejection sampling from shape-constrained distributions in sublinear time. | Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet |
| 2022 | COLT | 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 |
| 2021 | AISTATS | Fast and Smooth Interpolation on Wasserstein Space. | Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin J. Stromme |
| 2021 | AISTATS | Efficient Interpolation of Density Estimators. | Paxton Turner, Jingbo Liu, Philippe Rigollet |
| 2021 | AISTATS | A Statistical Perspective on Coreset Density Estimation. | Paxton Turner, Jingbo Liu, Philippe Rigollet |
| 2021 | COLT | Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm. | Sinho Chewi, Chen Lu, Kwangjun Ahn, Xiang Cheng, Thibaut Le Gouic, Philippe Rigollet |
| 2020 | COLT | Gradient descent algorithms for Bures-Wasserstein barycenters. | Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme |
| 2020 | COLT | Balancing Gaussian vectors in high dimension. | Paxton Turner, Raghu Meka, Philippe Rigollet |
| 2020 | UAI | Estimation Rates for Sparse Linear Cyclic Causal Models. | Jan-Christian Htter, Philippe Rigollet |
| 2019 | AISTATS | Statistical Optimal Transport via Factored Couplings. | Aden Forrow, Jan-Christian Htter, Mor Nitzan, Philippe Rigollet, Geoffrey Schiebinger, Jonathan Weed |
| 2018 | AISTATS | Teacher Improves Learning by Selecting a Training Subset. | Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu |
| 2018 | ALT | Minimax Rates and Efficient Algorithms for Noisy Sorting. | Cheng Mao, Jonathan Weed, Philippe Rigollet |
| 2018 | COLT | Conference on Learning Theory 2018: Preface. | Sbastien Bubeck, Philippe Rigollet |
| 2017 | COLT | Rates of estimation for determinantal point processes. | Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John Urschel |
| 2017 | ICML | Learning Determinantal Point Processes with Moments and Cycles. | John Urschel, Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet |
| 2016 | COLT | Online learning in repeated auctions. | Jonathan Weed, Vianney Perchet, Philippe Rigollet |
| 2015 | COLT | Batched Bandit Problems. | Vianney Perchet, Philippe Rigollet, Sylvain Chassang, Erik Snowberg |
| 2013 | COLT | Complexity Theoretic Lower Bounds for Sparse Principal Component Detection. | Quentin Berthet, Philippe Rigollet |
| 2013 | COLT | Bounded regret in stochastic multi-armed bandits. | Sbastien Bubeck, Vianney Perchet, Philippe Rigollet |
| 2010 | COLT | Nonparametric Bandits with Covariates. | Philippe Rigollet, Assaf Zeevi |