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A Theoretical and Empirical Model of the Generalization Error under Time-Varying Learning Rate
In this study, we analyze the generalization bound for the time-varying case by applying PAC-Bayes and experimentally show that the theoretical functional form for the batch size and learning rate approximates the generalization error well for both cases.
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