BriefGPT.xyz
Jul, 2013
一个带有 Dropout 界限的 PAC-Bayesian 教程
A PAC-Bayesian Tutorial with A Dropout Bound
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David McAllester
TL;DR
这篇论文简要介绍了现有的PAC-Bayesian理论,重点关注三种泛化界限及其应用,可以有效地处理规则参数及提供训练保障。
Abstract
This tutorial gives a concise overview of existing
pac-bayesian theory
focusing on three
generalization bounds
. The first is an
occam bound
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