The Wasserstein cost of Importance Sampling

Simon Coste, Michael Goldman

Importance sampling (IS) consists in biasing samples from a distribution $f$ towards another distribution $g$. Concretely, given samples $X_i$ from $f$, the IS measure is $$\hat{g}…