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Workshop

[Moved Online] Hot Topics: Optimal transport and applications to machine learning and statistics May 04, 2020 - May 08, 2020
To apply for Funding you must register by: February 04, 2020 about 2 months ago
Parent Program: --
Series: Hot Topic, Hot Topic
Location: MSRI: Simons Auditorium, Atrium
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)
Speaker(s)

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Description
Image
Image drawn by Dr. Katy Craig
***Due to the COVID-19 virus outbreak, the 2020 Hot Topics: Optimal transport and applications to machine learning and statistic workshop will no longer be held onsite at MSRI, rather it will take place online from May 4-8 as scheduled*** All on-site programming at MSRI in Berkeley is cancelled. **Please DO NOT TRAVEL to Berkeley / MSRI for this event. Workshop Description: The 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. Bibliography