| Differentiable PAC–Bayes objectives with partially aggregated neural networks F Biggs, B Guedj Entropy 23 (10), 1280, 2021 | 32 | 2021 |
| On margins and derandomisation in PAC-Bayes F Biggs, B Guedj International Conference on Artificial Intelligence and Statistics, 2022 | 27 | 2022 |
| Non-vacuous generalisation bounds for shallow neural networks F Biggs, B Guedj Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2022 | 25 | 2022 |
| MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting F Biggs, A Schrab, A Gretton Neural Information Processing Systems 37, 2023 | 14 | 2023 |
| Tighter pac-bayes generalisation bounds by leveraging example difficulty F Biggs, B Guedj International Conference on Artificial Intelligence and Statistics, 8165-8182, 2023 | 10 | 2023 |
| On Margins and Generalisation for Voting Classifiers F Biggs, V Zantedeschi, B Guedj Neural Information Processing Systems 2022., 2022 | 9 | 2022 |
| Exploring Generalisation Performance through PAC-Bayes F Biggs UCL (University College London), 2024 | | 2024 |
| A Note on the Efficient Evaluation of PAC-Bayes Bounds F Biggs arXiv preprint arXiv:2209.05188, 2022 | | 2022 |
Benjamin GuedjInria and University College London (UCL)在 inria.fr 的电子邮件经过验证
