One paper accepted at AISTATS 2020 in (virtual) Kyoto

The paper ‘Learning with minibatch Wasserstein : asymptotic and gradient properties’ from my Phd student Kilian Fatras is featured in the accepted of AISTATS 2020 (joint work with Younes Zine, Rémi Flamary and Rémi Gribonval). Kilian has written a nice blog entry on it. Be sure to check it out !