| PAC-Bayes unleashed: Generalisation bounds with unbounded losses M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor Entropy 23 (10), 1330, 2021 | 51 | 2021 |
| PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales M Haddouche, B Guedj Transactions on Machine Learning Research, 2022 | 28 | 2022 |
| Online PAC-Bayes Learning M Haddouche, B Guedj Advances in Neural Information Processing Systems 35, 2022 | 21 | 2022 |
| Learning via Wasserstein-based high probability generalisation bounds P Viallard, M Haddouche, U Simsekli, B Guedj Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation M Haddouche, B Guedj arXiv preprint arXiv:2304.07048, 2023 | 6* | 2023 |
| Upper and lower bounds on the performance of kernel PCA M Haddouche, B Guedj, J Shawe-Taylor arXiv preprint arXiv:2012.10369, 2020 | 5 | 2020 |
| Tighter Generalisation Bounds via Interpolation P Viallard, M Haddouche, U Şimşekli, B Guedj arXiv preprint arXiv:2402.05101, 2024 | 2 | 2024 |
| Federated Learning with Nonvacuous Generalisation Bounds P Jobic, M Haddouche, B Guedj arXiv preprint arXiv:2310.11203, 2023 | 1 | 2023 |
| Optimistic dynamic regret bounds M Haddouche, B Guedj, O Wintenberger arXiv preprint arXiv:2301.07530, 2023 | 1 | 2023 |
| A PAC-Bayesian Link Between Generalisation and Flat Minima M Haddouche, P Viallard, U Simsekli, B Guedj arXiv preprint arXiv:2402.08508, 2024 | | 2024 |
Benjamin GuedjInria and University College London (UCL)Adresse e-mail validée de inria.fr
