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Convergence of the adapted empirical measure for mixing observations
Ruslan Mirmominov, Johannes Wiesel
The adapted Wasserstein distance is a modification of the classical Wasserstein metric, that provides robust and dynamically consistent comparisons of laws of stocha…
Dynamic characterization of barycentric optimal transport problems and their martingale relaxation
Ivan Guo, Severin Nilsson, Johannes Wiesel
We extend the Benamou-Brenier formula from classical optimal transport to weak optimal transport and show that the barycentric optimal transport problem studied by Gozlan and Juill…
Sample complexity for divergence regularized optimal transport with radial cost
Ruiyu Han, Johannes Wiesel
We prove a new sample complexity result for divergence regularized optimal transport. Our bound holds for probability measures on~ with exponential tail decay and for…
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…