2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NeurIPS 2020poster
The squared Wasserstein distance is a natural quantity to compare probability distributions in a non-parametric setting. This quantity is usually estimated with the plug-in estimator, defined via a discrete optimal transport problem which can be solved to $\epsilon$-accuracy by adding an entropic re…