Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices

Huy Tran, Yikun Bai, Ashkan Shahbazi +2

The practical applications of Wasserstein distances (WDs) are constrained by their sample and computational complexities. Sliced-Wasserstein distances (SWDs) provide a workaround b…