Learning with minibatch Wasserstein : asymptotic and gradient properties

Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty

Abstract: Optimal transport distances are powerful tools to compare probability distributions and have found many applications in machine learning. Yet their algorithmic complexity prevents their direct use ...