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Does data interpolation contradict statistical optimality?
Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, PMLR 89:1611-1619, 2019.
Abstract
We show that classical learning methods interpolating the training data can achieve optimal rates for the problems of nonparametric regression and prediction with square loss.