profile photo

Axel Benyamine

I am first year PhD student at CMAP, Ecole Polytechnique and SIERRA project-team, INRIA Paris under the supervision of Michael I. Jordan, Alain Durmus and Julien Grand-Clément. My research interests lie at the intersection of Statistics, Machine Learning and Game Theory.

Before that, I did a master at University of Cambridge in Statistics and Probabilities (Part III master) and a master (Cycle Ingénieur, X2021 cohort) at Ecole Polytechnique in which I specialized towards Applied Mathematics with special interests in Statistics, Optimization and Machine Learning.
I also worked on optimization applied to urban planning during a research internship at MIT Operations Research Center.

You can reach me at firstname.lastname@polytechnique.edu.

LinkedIn

Publications
Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes
Axel Benyamine, Julien Grand-Clément, Marek Petrik, Michael I. Jordan, Alain Durmus
ICML 2026 (Spotlight)
[arxiv] / [poster] / [5min video]
Teaching

In 2026-2027, I am in charge of the third-year undergraduate course "Mathematics for Machine Learning" at PSL Univeristy in the CPES interdisciplinary bachelor’s program, within the Data Science, Arts and Culture track.

In 2025-2026, I was a teaching assistant at Ecole Polytechnique for the master courses "Introduction to Machine Learning" taught by Gabriel Stolz (Master Applied Mathematics and Statistics) and "Machine Learning II" taught by Erwan Le Pennec (Master Data Science and AI for Business).

Presentations
AQUARIUM 2026, Workshop on Automated Quantification of Risk in Uncertain Models.
Talk on Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes.
March 2026
Leipzig, Germany
ICML 2026 (Spotlight)
Poster on Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes.
July 2026
Seoul, South Korea
OCEAN 2026 Workshop
Talk on Dynamic Programming and Optimal Policies in MDPs with Epistemic Uncertainty.
Sept. 2026
Durham, UK

Thanks Eugene Berta for the template.