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.

Funding

Project: 6PAC
Period: Feb. 2018 – Jan. 2021
Amount: 30k €
Founder: Inria
Role: co-PI (with Peter Grünwald)

Project: BEAGLE
Period: Mar. 2019 – Feb. 2023
Amount: 180k €
Founder: ANR (French Agency for Research – success rate 12%)
Role: PI

Project: APRIORI
Period: Mar. 2019 – Feb. 2023
Amount: 180k €
Founder: ANR (French Agency for Research – success rate 12%)
Role: Member

Project: PERF-AI
Period: Oct. 2018 – Oct. 2020
Amount: 600k €
Founder: European Research Council (CleanSky 2 program)
Role: Member

Project: SLAP-ME
Period: Oct. 2017 – Sep. 2018
Amount: 55k &euros;
Founder: Région Hauts-de-France
Role: PI

Project: Modal-Insight
Period: Sep. 2016 – Sep. 2018
Amount: 10k &euros;
Founder: Inria Lille - Nord Europe research centre
Role: PI

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)