| Existence and consistency of Wasserstein barycenters T Le Gouic, JM Loubes Probability Theory and Related Fields 168, 901-917, 2017 | 189 | 2017 |
| On the mean speed of convergence of empirical and occupation measures in Wasserstein distance E Boissard, T Le Gouic Annales de l'IHP Probabilités et statistiques 50 (2), 539-563, 2014 | 154 | 2014 |
| Distribution’s template estimate with Wasserstein metrics E Boissard, T Le Gouic, JM Loubes | 143 | 2015 |
| Optimal dimension dependence of the Metropolis-adjusted Langevin algorithm S Chewi, C Lu, K Ahn, X Cheng, T Le Gouic, P Rigollet Conference on Learning Theory, 1260-1300, 2021 | 95 | 2021 |
| Convergence rates for empirical barycenters in metric spaces: curvature, convexity and extendable geodesics A Ahidar-Coutrix, T Le Gouic, Q Paris Probability theory and related fields 177 (1), 323-368, 2020 | 88* | 2020 |
| SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence S Chewi, T Le Gouic, C Lu, T Maunu, P Rigollet arXiv preprint arXiv:2006.02509, 2020 | 86 | 2020 |
| Projection to Fairness in Statistical Learning T Le Gouic, JM Loubes, P Rigollet arXiv preprint arXiv:2005.11720, 2020 | 69* | 2020 |
| Exponential ergodicity of mirror-Langevin diffusions S Chewi, T Le Gouic, C Lu, T Maunu, P Rigollet, A Stromme arXiv preprint arXiv:2005.09669, 2020 | 63 | 2020 |
| Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space T Le Gouic, Q Paris, P Rigollet, AJ Stromme arXiv preprint arXiv:1908.00828, 2019 | 62 | 2019 |
| Fast and smooth interpolation on wasserstein space S Chewi, J Clancy, T Le Gouic, P Rigollet, G Stepaniants, A Stromme International Conference on Artificial Intelligence and Statistics, 3061-3069, 2021 | 38 | 2021 |
| The query complexity of sampling from strongly log-concave distributions in one dimension S Chewi, PR Gerber, C Lu, T Le Gouic, P Rigollet Conference on Learning Theory, 2041-2059, 2022 | 22 | 2022 |
| Unconstrained and Curvature-Constrained Shortest-Path Distances and their Approximation E Arias-Castro, T Le Gouic arXiv preprint arXiv:1706.09441, 2017 | 14 | 2017 |
| Bures-wasserstein barycenters and low-rank matrix recovery T Maunu, T Le Gouic, P Rigollet International Conference on Artificial Intelligence and Statistics, 8183-8210, 2023 | 10 | 2023 |
| Sampling from the wasserstein barycenter C Daaloul, T Le Gouic, J Liandrat, M Tournus arXiv preprint arXiv:2105.01706, 2021 | 9 | 2021 |
| An algorithmic solution to the Blotto game using multi-marginal couplings V Perchet, P Rigollet, T Le Gouic Proceedings of the 23rd ACM Conference on Economics and Computation, 208-209, 2022 | 8 | 2022 |
| Localisation de masse et espaces de Wasserstein T Le Gouic Toulouse 3, 2013 | 6 | 2013 |
| Rejection sampling from shape-constrained distributions in sublinear time S Chewi, PR Gerber, C Lu, T Le Gouic, P Rigollet International conference on artificial intelligence and statistics, 2249-2265, 2022 | 4 | 2022 |
| A notion of stability for k-means clustering T Le Gouic, Q Paris arXiv preprint arXiv:1801.09419, 2018 | 4 | 2018 |
| A note on flatness of non separable tangent cone at a barycenter T Le Gouic Comptes Rendus. Mathématique 358 (4), 489-495, 2020 | 3 | 2020 |
| Extending the Wasserstein metric to positive measures H Leblanc, T Le Gouic, J Liandrat, M Tournus arXiv preprint arXiv:2303.02183, 2023 | 2 | 2023 |
Philippe RigolletMassachusetts Institute of TechnologyE-mail confirmado em math.mit.edu
