Efficient Distribution Learning with Error Bounds in Wasserstein Distance

Eduardo Figueiredo, Steven Adams, Luca Laurenti

The Wasserstein distance has emerged as a key metric to quantify distances between probability distributions, with applications in various fields, including machine learning, contr…