Early-stoppedneuralnetworksareconsistent

Neural Information Processing Systems 

Rounding out the story and contributions, firstly we present a brief toy univariate model hinting towards the necessity of early stopping: concretely, any univariate predictor satisfying alocal interpolation propertycan not achieve optimal test error for noisy distributions.

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