| A dimension-free computational upper-bound for smooth optimal transport estimation A Vacher, B Muzellec, A Rudi, F Bach, FX Vialard Conference on Learning Theory, 4143-4173, 2021 | 45 | 2021 |
| Near-optimal estimation of smooth transport maps with kernel sums-of-squares B Muzellec, A Vacher, F Bach, FX Vialard, A Rudi arXiv preprint arXiv:2112.01907, 2021 | 25 | 2021 |
| Optimal estimation of smooth transport maps with kernel SoS A Vacher, B Muzellec, F Bach, FX Vialard, A Rudi SIAM Journal on Mathematics of Data Science 6 (2), 311-342, 2024 | 7 | 2024 |
| Convex transport potential selection with semi-dual criterion A Vacher, FX Vialard Advances in Neural Information Processing Systems, 2022, 2021 | 7* | 2021 |
| Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm. A Vacher, FX Vialard International Conference on Machine Learning, 34734-34758, 2023 | 5 | 2023 |
| Provable convergence and limitations of geometric tempering for Langevin dynamics O Chehab, A Korba, A Stromme, A Vacher arXiv preprint arXiv:2410.09697, 2024 | 3 | 2024 |
| Polynomial time sampling from log-smooth distributions in fixed dimension under semi-log-concavity of the forward diffusion with application to strongly dissipative distributions A Vacher, O Chehab, A Korba arXiv preprint arXiv:2501.00565, 2024 | 1 | 2024 |
François-Xavier VialardProfessor, Université Gustave EiffelPreverjeni e-poštni naslov na u-pem.fr