A PAC-Bayes Analysis of Adversarial Robustness. - Paul Viallard; Guillaume Vidot; Amaury Habrard; Emilie Morvant (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, 2021)

Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. - Paul Viallard; Pascal Germain; Amaury Habrard; Emilie Morvant (ECML/PKDD (2), 2021)

A General Framework for the Derandomization of PAC-Bayesian Bounds. - Paul Viallard; Pascal Germain; Amaury Habrard; Emilie Morvant (CoRR, 2021)

PAC-Bayesian Bounds and Beyond: Self-Bounding Algorithms and New Perspectives on Generalization in Machine Learning. (Bornes PAC-Bayésiennes et Au-delà: Algorithmes Auto-limitatifs et Nouvelles Perspectives sur la Généralisation en Apprentissage Automatique). - Paul Viallard (2022)

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

From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD. - Benjamin Dupuis; Paul Viallard (CoRR, 2023)

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. - Paul Viallard; Rémi Emonet; Amaury Habrard; Emilie Morvant; Valentina Zantedeschi (AISTATS, 2024)

A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. - Jordan Patracone; Paul Viallard; Emilie Morvant; Gilles Gasso; Amaury Habrard; Stéphane Canu (ECML/PKDD (4), 2024)

Tighter Generalisation Bounds via Interpolation. - Paul Viallard; Maxime Haddouche; Umut Simsekli; Benjamin Guedj (CoRR, 2024)

Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. - Benjamin Dupuis; Paul Viallard; George Deligiannidis; Umut Simsekli (CoRR, 2024)

A general framework for the practical disintegration of PAC-Bayesian bounds. - Paul Viallard; Pascal Germain; Amaury Habrard; Emilie Morvant (Mach. Learn., 2024)

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