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Department of Mathematics,
University of California San Diego

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Postdoc Seminar

Caroline Moosmueller

UCSD

Optimal transport in machine learning

Abstract:

In this talk, I will give an introduction to optimal transport, which has evolved as one of the major frameworks to meaningfully compare distributional data. The focus will mostly be on machine learning, and how optimal transport can be used efficiently for clustering and supervised learning tasks. Applications of interest include image classification as well as medical data such as gene expression profiles.

April 21, 2022

3:15 PM

APM B402A

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