Paul Viallard - RankMe

23 papers A* 4A 1B 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	MiniAMIE: Quick and Dirty Rule Mining on Knowledge Graphs. WWW Luis Galárraga, Julianne Guerbette, Isseïnie Sinouvassane, Paul Viallard
2026	J	`jnl`	PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers. CoRR Julien Bastian, Benjamin Leblanc, Pascal Germain, Amaury Habrard, Christine Largeron, Guillaume Metzler, Emilie Morvant, Paul Viallard
2025	B	`conf`	A PAC-Bayesian Link Between Generalisation and Flat Minima. ALT Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
2025	J	`jnl`	PAC-Bayesian Bounds on Constrained f-Entropic Risk Measures. CoRR Hind Atbir, Farah Cherfaoui, Guillaume Metzler, Emilie Morvant, Paul Viallard
2024	J	`jnl`	A PAC-Bayesian Link Between Generalisation and Flat Minima. CoRR Maxime Haddouche, Paul Viallard, Umut Simsekli, Benjamin Guedj
2024	—	`conf`	A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu
2024	J	`jnl`	A general framework for the practical disintegration of PAC-Bayesian bounds. Mach. Learn. Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
2024	A	`conf`	Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. AISTATS Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
2024	J	`jnl`	Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. CoRR Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi
2024	J	`jnl`	Tighter Generalisation Bounds via Interpolation. CoRR Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2024	J	`jnl`	Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
2024	J	`jnl`	Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. J. Mach. Learn. Res. Benjamin Dupuis, Paul Viallard, George Deligiannidis, Umut Simsekli
2023	J	`jnl`	From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD. CoRR Benjamin Dupuis, Paul Viallard
2023	A*	`conf`	Learning via Wasserstein-Based High Probability Generalisation Bounds. NeurIPS Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2023	J	`jnl`	Learning via Wasserstein-Based High Probability Generalisation Bounds. CoRR Paul Viallard, Maxime Haddouche, Umut Simsekli, Benjamin Guedj
2022	—	`—`	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
2021	J	`jnl`	A General Framework for the Derandomization of PAC-Bayesian Bounds. CoRR Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
2021	A*	`conf`	A PAC-Bayes Analysis of Adversarial Robustness. NeurIPS Paul Viallard, Guillaume Vidot, Amaury Habrard, Emilie Morvant
2021	J	`jnl`	A PAC-Bayes Analysis of Adversarial Robustness. CoRR Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant
2021	A*	`conf`	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. NeurIPS Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
2021	J	`jnl`	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound. CoRR Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj
2021	J	`jnl`	Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. CoRR Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
2021	—	`conf`	Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound. ECML/PKDD (2) Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant