Research

Topics

I am interested in machine learning, with a particular focus on statistical learning theory, PAC-Bayes theory, computational statistics and algorithms, deep learning, kernels and learning representation.

Awards

Our paper “PAC-Bayesian Bound for the Conditional Value at Risk” with Zakaria Mhammedi and Bob Williamson was accepted as a spotlight presentation (top 3% of submissions) at NeurIPS 2020

Best reviewer award (top 10%), NeurIPS 2020

Best reviewer award (top 5%), NeurIPS 2019

Best reviewer award (top 5%), ICML 2019

Best reviewer award (top 25%), NeurIPS 2018

PEDR (bonus for excellence in research and supervision), Inria (2018–2022)