February 9, 2021
Abstract: Statistical distances, such as the KL divergence and Wasserstein distances, are powerful tools for measuring differences between probability distributions. Unfortunately, the sample complexity of estimating these distances often scales prohibitively poorly with increasing dimension. In this work, we study Read more…
