TV distance estimation for general log-concave distributions

Develop algorithms to estimate the total variation distance between two general log-concave probability distributions on R^n.

Background

The paper provides relative-error algorithms for the total variation distance between multivariate Gaussians by reducing to discrete product distributions and leveraging new analysis tools. Extending such TV distance estimation beyond Gaussians to the broader class of log-concave distributions is identified as an explicit open direction.