BriefGPT.xyz
Jun, 2022
VAE中证据的限制和对数似然的评估
Bounding Evidence and Estimating Log-Likelihood in VAE
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Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor
TL;DR
本文提供了一种通用且有效的变分间隙上限估算方法,使得我们可以高效地对VAE模型的真实证据进行估算,并且借助我们的估算方法,容易获得VAE模型对数似然的上限和下限。
Abstract
Many crucial problems in
deep learning
and
statistics
are caused by a
variational gap
, i.e., a difference between evidence and evidence lo
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