1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
math.ST2023★ 1 cited
On concentration of the empirical measure for radial transport costs
Martin Larsson, Jonghwa Park, Johannes Wiesel
Let be a probability measure on and its empirical measure with sample size . We prove a concentration inequality for the optimal transport cost between…