Workshop
Registration Deadline:  May 08, 2020 about 4 years ago 

To apply for Funding you must register by:  February 04, 2020 over 4 years ago 
Parent Program:   

Series:  Hot Topic, Hot Topic 
Location:  SLMath: Eisenbud Auditorium, Atrium 
Show List of Speakers
 Jose Carrillo (Imperial College, London)
 Pratik Chaudhari (University of Pennsylvania)
 Lenaic Chizat (Centre National de la Recherche Scientifique (CNRS))
 Codina Cotar (University College London)
 David Eisenbud (University of California, Berkeley)
 Nicolas Garcia Trillos (University of WisconsinMadison)
 Aude Genevay (Massachusetts Institute of Technology)
 Franca Hoffman (California Institute of Technology)
 Mikaela Iacobelli (ETH Zurich)
 Andrea Montanari (Stanford University)
 Adam Oberman
 Gabriel Peyré (École Normale Supérieure)
 Philippe Rigollet (Massachusetts Institute of Technology)
 Dejan Slepcev (Carnegie Mellon University)
 Justin Solomon (Massachusetts Institute of Technology)
 Matthew Thorpe (University of Manchester)
 Samy Wu Fung (University of California, Los Angeles)
 Yunan Yang (New York University, Courant Institute)
This workshop will be held online. The link to join is: https://msri.zoom.us/j/92457794010. You must register for the workshop to receive the password. The workshop is held in Pacific Standard Time.
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
Keywords and Mathematics Subject Classification (MSC)
Tags/Keywords
optimal transport
Earth mover’s distance
Wasserstein metric
gradient descent
gradient flows
deep learning
computer vision
statistical inference
supervised learning
low dimensional embeddings
computational geometry
domain adaptation
49J45  Methods involving semicontinuity and convergence; relaxation
60D05  Geometric probability and stochastic geometry [See also 52A22, 53C65]
68T05  Learning and adaptive systems in artificial intelligence [See also 68Q32]
68T10  Pattern recognition, speech recognition {For cluster analysis, see 62H30}
Show Schedule, Notes/Handouts & Videos
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May 04, 2020 Monday 



May 05, 2020 Tuesday 


May 06, 2020 Wednesday 


May 07, 2020 Thursday 


May 08, 2020 Friday 
