Thibaut Le Gouic
Thibaut Le Gouic
Institut de Mathématiques de Marseille, Massachusetts Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Existence and consistency of Wasserstein barycenters
T Le Gouic, JM Loubes
Probability Theory and Related Fields 168 (3), 901-917, 2017
Distribution’s template estimate with Wasserstein metrics
E Boissard, T Le Gouic, JM Loubes
Bernoulli 21 (2), 740-759, 2015
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
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
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
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
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
Projection to Fairness in Statistical Learning
T Le Gouic, JM Loubes, P Rigollet
arXiv preprint arXiv:2005.11720, 2020
Unconstrained and Curvature-Constrained Shortest-Path Distances and their Approximation
E Arias-Castro, T Le Gouic
arXiv preprint arXiv:1706.09441, 2017
Localisation de masse et espaces de Wasserstein
T Le Gouic
Université de Toulouse, Université de Toulouse III-Paul Sabatier, 2013
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
A note on flatness of non separable tangent cone at a barycenter
T Le Gouic
Comptes Rendus. Mathématique 358 (4), 489-495, 2020
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
A notion of stability for k-means clustering
T Le Gouic, Q Paris
arXiv preprint arXiv:1801.09419, 2018
A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials
K Pele, J Baccou, L Daridon, J Liandrat, T Le Gouic, Y Monerie, F Péralès
Rejection sampling from shape-constrained distributions in sublinear time
S Chewi, P Gerber, C Lu, TL Gouic, P Rigollet
arXiv preprint arXiv:2105.14166, 2021
The query complexity of sampling from strongly log-concave distributions in one dimension
S Chewi, P Gerber, C Lu, TL Gouic, P Rigollet
arXiv preprint arXiv:2105.14163, 2021
Sampling From the Wasserstein Barycenter
C Daaloul, TL Gouic, J Liandrat, M Tournus
arXiv preprint arXiv:2105.01706, 2021
Modélisation de la prédiction de trajets de fissures sur la base de descripteurs morphologiques locaux: application à la génération de microstructures équivalentes dans les …
K Pele, J Baccou, L Daridon, T Le Gouic, J Liandrat, Y Monerie, ...
Mecamat-Rupture des Matériaux et des Structures, 2019
Mass localization
T Le Gouic
arXiv preprint arXiv:1506.04136, 2015
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