☕️About Me
I am an Associate Professor at Université de Lille in France. As a researcher, I am part of the CRIStAL laboratory and belong to the Scool unit. I teach Math/CS-related courses at Polytech Lille. Previously, I held a postdoctoral position in Università degli Studi di Milano (Italy), in the group of Nicolò Cesa-Bianchi. I completed my PhD under the supervision on Olivier Cappé and Aurélien Garivier.
Interests
- online learning
- bandits
- online auctions
- federated learning
- privacy
Education
(Industrial) PhD in Computer Sciences, 2022
ENS Paris & Numberly
MEng in Data Sciences, 2018
Université Paris Saclay
Graduation from Télécom Paris, 2019
Télécom Paris
Graduation from HEC Paris, 2019
HEC
📚 My Research
My research interests are mainly centered on sequential decision problems, including online learning, bandits and their extensions.
During my PhD, I have mainly studied applications of bandit theory to online markets.
My research interests focus primarily on sequential decision problems, including online learning, bandits, and their extensions. During my PhD, I explored applications of bandit theory in online markets. I am currently investigating new forms of online federated learning and am keen to develop more robust and sustainable sequential decision algorithms, both within federated settings and beyond.
Featured Publications
Recent Publications
(2024).
Distributed Online Optimization with Stochastic Agent Availability.
preprint.
(2024).
Multitask Online Learning: Listen to the Neighborhood Buzz.
In AISTATS 2024.
(2024).
Regret Analysis of the Stochastic Direct Search Method for Blind Resource Allocation.
To appear in TMLR 2024.
(2021).
Efficient algorithms for repeated second price auctions.
In ALT 2021.
(2021).
Fast Rate Learning in Stochastic First Price Bidding.
In ACML 2021.
Recent & Upcoming Talks