Biography
I am a final year PhD student at CMAP, Ecole Polytechnique, supervised by Aymeric Dieuleveut and Adrien Taylor.
My research interests include Machine Learning, Optimization and Statistics. In particular, I am interested in distributed learning, generalization, privacy, robustness, diffusion processes and many more related topics.
Interests
- Optimization
- Distributed Learning
- Robustness
- Diffusion models
Education
PhD in Optimization for Machine Learning, 2024
Ecole Polytechnique
Master of Science in Machine Learning and Computer Vision (MVA), 2017
Ecole Normale Supérieure Paris-Saclay
Agrégation de mathématiques, ranked 18th, 2016
Ecole Normale Supérieure Paris-Saclay
Publications
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(2024).
Proving linear mode connectivity of neural networks via optimal transport.
AISTATS2024.
(2023).
Gradient descent is optimal under lower restricted secant inequality and upper error bound.
NIPS2023.
(2023).
On Fundamental Proof Structures in First-Order Optimization.
CDC2023.
