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Hot Topics: Optimal transport and applications to machine learning and statistics
Organizers: Luigi Ambrosio (Scuola Normale Superiore), Francis Bach (École Normale Supérieure), LEAD Katy Craig (University of California, Santa Barbara), Carola-Bibiane Schönlieb (University of Cambridge), Stefano Soatto (University of California, Los Angeles)
Image drawn by Dr. Katy CraigThe goal of the workshop is to explore the many emerging connections between the theory of Optimal Transport and models and algorithms currently used in the Machine Learning community. In particular, the use of Wasserstein metrics and the relation between discrete models and their continuous counterparts will be presented and discussed.
Updated on Jun 17, 2019 04:45 PM PDT
Upcoming Hot Topics Workshops |