Lucas Lévy
I am a first-year PhD student in the SIERRA team between INRIA Paris and ENS Ulm, where I am fortunate to work under the supervision of Francis Bach and Michael Jordan. My research interests lie at the intersection of Optimization, Machine Learning Theory and Anytime-Valid Inference.
I recently earned my Engineering Degree from Ecole polytechnique (X 2022), specializing in Applied Mathematics, alongside the MVA (Mathematics, Vision, Learning) Master's degree at ENS Paris-Saclay. Have a look at my CV for additional information.
Publications
Presentations
Beyond Optimal Rates in Stochastic Optimization: Trajectory-Adaptive Stopping Rules
Self-Concordant Perturbations for Linear Bandits