Unbiased estimators for the variance of MMD estimators

5 Jun 2019Dougal J. Sutherland

The maximum mean discrepancy (MMD) is a kernel-based distance between probability distributions useful in many applications (Gretton et al. 2012), bearing a simple estimator with pleasing computational and statistical properties. Being able to efficiently estimate the variance of this estimator is very helpful to various problems in two-sample testing... (read more)

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