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Sliced and Hierarchical Wasserstein Geometries : Gradient Flows and Variational Analysis

Christophe Vauthier
HAL (France) · Papers
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machine-learningoptimal-transportoptimisationoptimizationstatistique
In this thesis, we analyze the geometry induced by two variants of the Wasserstein distance in optimal transport: the Sliced-Wasserstein distance, and the Wasserstein over Wasserstein distance. In the first part of this thesis, we focus on the Sliced-Wasserstein distance, and we examine the converge
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