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cs.LG2021
Statistically Near-Optimal Hypothesis Selection
Olivier Bousquet, Mark Braverman, Klim Efremenko +2
Hypothesis Selection is a fundamental distribution learning problem where given a comparator-class of distributions, and a sampling access to an unknown tar…
cs.LG2020
Non-parametric Binary regression in metric spaces with KL loss
Ariel Avital, Klim Efremenko, Aryeh Kontorovich +2
We propose a non-parametric variant of binary regression, where the hypothesis is regularized to be a Lipschitz function taking a metric space to [0,1] and the loss is logarithmic.…