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Stochastics and Statistics Seminar Series Thibaut Le Gouic, MIT

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Sampler for the Wasserstein barycenter

Thibaut Le Gouic, MIT
online

Abstract: Wasserstein barycenters have become a central object in applied optimal transport as a tool to summarize complex objects that can be represented as distributions. Such objects include posterior distributions in Bayesian statistics, functions in functional data analysis and images in graphics. In a nutshell a Wasserstein barycenter is a probability distribution that provides a…

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