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Feature Space Decomposition (FSD) for refined uniform-convergence analyses of non-asymptotic population excess risk in supervised learning.
Benign overfitting and related phenomena in modern statistical learning theory.
New mathematical developments inspired by statistical learning learning, especially in empirical process theory and the geometry of Banach spaces.
Benign overfitting and related phenomena in modern statistical learning theory.
New mathematical developments inspired by statistical learning learning, especially in empirical process theory and the geometry of Banach spaces.
I am a PhD student under the supervision of Guillaume Lecué and Matthieu Lerasle. I have a Master degree in Applied Mathematics and Statistics from Institut Polytechnique de Paris and a BSc in Computer Science at Jilin University.