Tom Huix
4 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Types
(1)
Methods
(1)
Models
(1)
Optimization
(1)
Keywords
contextual bandit
(2)
thompson sampling
(2)
variational inference
(2)
posterior distribution
(1)
kullback-leibler divergence
(1)
monte carlo sampling
(1)
regret bound
(1)
online algorithm
(1)
bayesian neural network
(1)
gaussian variational inference
(1)
evidence lower bound
(1)
langevin monte carlo
(1)
interacting particle system
(1)
mixture of gaussian
(1)
law of large number
(1)
reverse kl divergence
(1)
sublinear regret bound
(1)
reparametrization trick
(1)
fixed covariance
(1)
mollified relative entropy
(1)
Papers
VITS : Variational Inference Thompson Sampling for contextual bandits
ICML 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
ICML 2024
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
COLT 2023
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo
AISTATS 2023