| 2025 | ALT | Generalisation under gradient descent via deterministic PAC-Bayes. | Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet |
| 2025 | ALT | A PAC-Bayesian Link Between Generalisation and Flat Minima. | Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj |
| 2024 | AISTATS | Comparing Comparators in Generalization Bounds. | Fredrik Hellstrm, Benjamin Guedj |
| 2023 | AISTATS | Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. | Felix Biggs, Benjamin Guedj |
| 2022 | AISTATS | On Margins and Derandomisation in PAC-Bayes. | Felix Biggs, Benjamin Guedj |
| 2022 | AISTATS | On PAC-Bayesian reconstruction guarantees for VAEs. | Badr-Eddine Chrief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj |
| 2022 | ICML | Non-Vacuous Generalisation Bounds for Shallow Neural Networks. | Felix Biggs, Benjamin Guedj |
| 2022 | ICML | Measuring dissimilarity with diffeomorphism invariance. | Thophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi |
| 2021 | AISTATS | Online k-means Clustering. | Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom |
| 2020 | UAI | PAC-Bayesian Contrastive Unsupervised Representation Learning. | Kento Nozawa, Pascal Germain, Benjamin Guedj |