Talks and presentations

Different methods to meta-learn linear shared representations

ARGO Team Seminar, May, 2023, INRIA Paris, France

Theoretical study of neural networks training

Séminaire M2 Orsay, December, 2022, LMO, Orsay, France

Sequential learning in a strategical environment

PGMO days, PhD award, November, 2022, EDF Lab, Palaiseau, France

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

LOL 2022, October, 2022, CIRM, Luminy, France

Trace norm regularization for multi-task learning with scarce data

COLT 2022, July, 2022, London, UK

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

SuRI 2022, June, 2022, EPFL, Switzerland

Social Learning in Non-Stationary Environments

ALT 2022, March, 2022, Paris, France

Sequential learning in a strategical environment

PhD Thesis Defense, September, 2021, ENS Paris-Saclay, France

Decentralized Learning in Online Queuing Systems

Game Theory Seminar, June, 2021, Institut Henri Poincaré, Paris, France

Presentation on Competing bandits in matching markets

Matching reading group, January, 2021, Online

A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players

AISTATS, August, 2020, Online

Utility/Privacy Trade-off through the lens of Optimal Transport

AISTATS, August, 2020, Online

Selfish Robustness and Equilibria in Multi-Player Bandits

COLT, July, 2020, Online

NeurIPS debrief

MLMDA Seminar, February, 2020, Cachan, France

SIC-MMAB: Synchronisation involves communication in Multiplayer bandits

NeurIPS 2019 (spotlight), December, 2019, Vancouver, Canada

SIC-MMAB: Synchronisation involves communication in Multiplayer bandits

MLMDA seminars, November, 2019, Cachan, France

Private Learning through the Lens of Optimal Transport

StatMathAppli, September, 2019, Frejus, France