Younes Zine

Learning with minibatch Wasserstein : asymptotic and gradient properties

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 on large scale datasets. To overcome this challenge, practitioners compute these distances on minibatch…