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math.PR2025
The fast rate of convergence of the smooth adapted Wasserstein distance
Martin Larsson, Jonghwa Park, Johannes Wiesel
Estimating a -dimensional distribution by the empirical measure of its samples is an important task in probability theory, statistics and machine learning. It is w…
math.PR2024★ 1 cited
Bounding adapted Wasserstein metrics
Jose Blanchet, Martin Larsson, Jonghwa Park +1
The Wasserstein distance is an important instance of an optimal transport cost. Its numerous mathematical properties as well as applications to various fields such…