Non-asymptotic convergence bounds for Wasserstein approximation using point clouds

Quentin Merigot, Filippo Santambrogio, Clément Sarrazin

Several issues in machine learning and inverse problems require to generate discrete data, as if sampled from a model probability distribution. A common way to do so relies on the…