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Tom Huix
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 6
Top Topics
Variational Inference
Top Venues
CoRR
AISTATS
COLT
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Publications
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Arnaud Descours
,
Tom Huix
,
Arnaud Guillin
,
Manon Michel
,
Éric Moulines
,
Boris Nectoux
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference.
CoRR
(2024)
Tom Huix
,
Anna Korba
,
Alain Durmus
,
Eric Moulines
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians.
CoRR
(2024)
Arnaud Descours
,
Tom Huix
,
Arnaud Guillin
,
Manon Michel
,
Éric Moulines
,
Boris Nectoux
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference.
COLT
(2023)
Tom Huix
,
Matthew Zhang
,
Alain Durmus
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo.
AISTATS
(2023)
Pierre Clavier
,
Tom Huix
,
Alain Durmus
VITS : Variational Inference Thomson Sampling for contextual bandits.
CoRR
(2023)
Tom Huix
,
Szymon Majewski
,
Alain Durmus
,
Eric Moulines
,
Anna Korba
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study.
CoRR
(2022)