About me

I am a PhD student at CREST, ENSAE, working under the supervision of Marco Cuturi. My research is focused on applying tools from the optimal transport theory to machine learning, with a particular interest in unsupervised problems.

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Recent Events

• [09-13/03/2020] I participated in the Optimization for Machine Learning workshop at CIRM, Marseille.
• [03/03/2020] New preprint: Dimension-free convergence rates for gradient Langevin dynamics in RKHS. Joint work with Kanji Sato, Mathurin Massias and Taiji Suzuki.
• [13/02/2020] I gave a talk on “The Bures-Wasserstein Distance for Machine Learning” at the SIERRA seminar. [Slides]
• [11/02/2020] New preprint: Missing Data Imputation using Optimal Transport. Joint work with Julie Josse, Claire Boyer and Marco Cuturi.