Learning Kernel Tests Without Data Splitting

Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf +1

Modern large-scale kernel-based tests such as maximum mean discrepancy (MMD) and kernelized Stein discrepancy (KSD) optimize kernel hyperparameters on a held-out sample via data sp…