21-25 November 2022
Institut Henri Poincaré
Europe/Paris timezone

Possible conference funding from IHP for students and young researchers (deadline March 15th)

Measure-theoretic Approaches and Optimal Transportation in Statistics

21-25 November 2022 - IHP, Paris

The Wasserstein distance in Optimal transportation has proved to be useful for a wide range of learning tasks such as generative models, domain adaptation or supervised embeddings. It is also an important metric for Topological Data Analysis and Geometric inference. More generally, distances on the space of probability measures, such as the maximum mean discrepancy, have shown to be powerful tools in statistical learning.
 

Invited Speakers

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Europe/Paris
Institut Henri Poincaré
Amphithéâtre Hermite
11 rue Pierre et Marie Curie 75005 Paris
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