Guedj, Benjamin

29 publications

ALT 2025 A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj

ALT 2025 Generalisation Under Gradient Descent via Deterministic PAC-Bayes Eugenio Clerico, Tyler Farghly, George Deligiannidis, Benjamin Guedj, Arnaud Doucet

FnTML 2025 Generalization Bounds: Perspectives from Information Theory and PAC-Bayes Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj, Maxim Raginsky

TMLR 2024 A Note on Regularised NTK Dynamics with an Application to PAC-Bayesian Training Eugenio Clerico, Benjamin Guedj

AISTATS 2024 Comparing Comparators in Generalization Bounds Fredrik Hellström, Benjamin Guedj

NeurIPS 2024 Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound Reuben Adams, John Shawe-Taylor, Benjamin Guedj

NeurIPS 2024 Learning via Surrogate PAC-Bayes Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj

JMLR 2023 Cluster-Specific Predictions with Multi-Task Gaussian Processes Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey

NeurIPS 2023 Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj

NeurIPSW 2023 Learning via Wasserstein-Based High Probability Generalisation Bounds Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj

JMLR 2023 MMD Aggregated Two-Sample Test Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton

TMLR 2023 PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses Through Supermartingales Maxime Haddouche, Benjamin Guedj

AISTATS 2023 Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty Felix Biggs, Benjamin Guedj

AISTATS 2022 On Margins and Derandomisation in PAC-Bayes Felix Biggs, Benjamin Guedj

AISTATS 2022 On PAC-Bayesian Reconstruction Guarantees for VAEs Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj

NeurIPS 2022 Efficient Aggregated Kernel Tests Using Incomplete $u$-Statistics Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton

NeurIPS 2022 KSD Aggregated Goodness-of-Fit Test Antonin Schrab, Benjamin Guedj, Arthur Gretton

MLJ 2022 MAGMA: Inference and Prediction Using Multi-Task Gaussian Processes with Common Mean Arthur Leroy, Pierre Latouche, Benjamin Guedj, Servane Gey

ICML 2022 Measuring Dissimilarity with Diffeomorphism Invariance Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi

ICML 2022 Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs, Benjamin Guedj

NeurIPS 2022 On Margins and Generalisation for Voting Classifiers Felix Biggs, Valentina Zantedeschi, Benjamin Guedj

NeurIPS 2022 Online PAC-Bayes Learning Maxime Haddouche, Benjamin Guedj

AISTATS 2021 Online K-Means Clustering Vincent Cohen-Addad, Benjamin Guedj, Varun Kanade, Guy Rom

NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj

NeurIPS 2020 PAC-Bayesian Bound for the Conditional Value at Risk Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson

UAI 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning Kento Nozawa, Pascal Germain, Benjamin Guedj

NeurIPS 2019 Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Gaël Letarte, Pascal Germain, Benjamin Guedj, Francois Laviolette

NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj

MLJ 2018 Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier, Benjamin Guedj