Tom Huix

4 papers · 2023–2024 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge

Conferences

ICML (2) AISTATS (1) COLT (1)

Top co-authors

Eric Moulines (2) Alain Oliviero Durmus (2) Arnaud Guillin (1) Arnaud Descours (1) Matthew Zhang (1) Boris Nectoux (1) Pierre Clavier (1) Manon Michel (1) Alain Durmus (1) Anna Korba (1)

Keywords

variational inference (1) bayesian inference (1) markov chain monte carlo (1) monte carlo sampling (1) thompson sampling (1) regret bound (1) contextual bandit (1) bayesian neural network (1) evidence lower bound (1) langevin monte carlo (1) law of large number (1) reparametrization trick (1)

Papers

$\mathttVITS$ : Variational Inference Thompson Sampling for contextual bandits ICML 2024

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians ICML 2024

Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo AISTATS 2023

Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference COLT 2023