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Statistical learning theory (mathematical foundations of deep learning), geometry of Banach spaces (favored by probabilistic and combinatorial tools), and empirical process theory (favored by chaining and PAC-Bayesian method).
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.