| On the benefits of large learning rates for kernel methods G Beugnot, J Mairal, A Rudi Conference on Learning Theory, 254-282, 2022 | 13 | 2022 |
| Improving approximate optimal transport distances using quantization G Beugnot, A Genevay, K Greenewald, J Solomon Uncertainty in artificial intelligence, 290-300, 2021 | 10 | 2021 |
| Machine learning meets classical computer vision for accurate cell identification E Karimi, M Rezanejad, B Fiset, L Perus, SAC McDowell, A Arabzadeh, ... bioRxiv, 2022.02. 27.482183, 2022 | 4 | 2022 |
| Beyond tikhonov: faster learning with self-concordant losses, via iterative regularization G Beugnot, J Mairal, A Rudi Advances in Neural Information Processing Systems 34, 28196-28207, 2021 | 3 | 2021 |
| GloptiNets: Scalable Non-Convex Optimization with Certificates G Beugnot, J Mairal, A Rudi Advances in Neural Information Processing Systems 36, 55299-55319, 2023 | | 2023 |
Julien MairalInria - Univ. Grenoble AlpesVerified email at inria.fr
