Tom Huix


About me

I’m a third year PhD student at CMAP (Ecole Polytechnique). My research is focused on Bayesian Sampling with Variational inference. I’m supervised by Anna Korba , Alain Durmus and Eric Moulines. Before my PhD, I graduated from the MVA master (Mathematiques, Vision et Apprentissage) at ENS Paris Saclay and I got my engineering degree from CentraleSupélec following the MDS-PS specialization (Mathématiques et Data Sciences, Paris Saclay).

During my PhD, I have mainly focused on:

  • Variational inference for Bayesian Neural Networks
  • Contextual bandit problems with Thompson Sampling
  • Inverse Reinforcement Learning for Cardiologic data