Paul Viallard

6 papers · 2021–2025 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12)

Venues

NeurIPS (3) AISTATS (1) ALT (1) JMLR (1)

Top co-authors

Amaury Habrard (3) Benjamin Guedj (3) Umut Simsekli (3) Emilie Morvant (3) Rémi Emonet (2) Valentina Zantedeschi (2) Maxime Haddouche (2) Pascal Germain (1) Eric Guillaume VIDOT (1) Benjamin Dupuis (1)

Research topics

Machine Learning (6) Optimization & Theory · Machine Learning (6) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Core Methods (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

generalization bound (5) majority vote (2) langevin dynamics (1) stochastic gradient descent (1) adversarial robustness (1) statistical learning theory (1) pac-bayes theory (1) gibbs distribution (1) hypothesis class (1) pac-bayesian (1) adversarial attack (1) stochastic model (1) dirichlet distribution (1) pac-bayes bound (1) complexity measure (1) flat minima (1) heavy-tailed loss (1) high probability bound (1) pac-bayesian theory (1) random set (1)

Papers

A PAC-Bayesian Link Between Generalisation and Flat Minima ALT 2025 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024 Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024 Learning via Wasserstein-Based High Probability Generalisation Bounds NeurIPS 2023 A PAC-Bayes Analysis of Adversarial Robustness NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NeurIPS 2021