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A Tutorial on VAEs: From Bayes' Rule to Lossless Compression
[article]
2020
arXiv
pre-print
The Variational Auto-Encoder (VAE) is a simple, efficient, and popular deep maximum likelihood model. Though usage of VAEs is widespread, the derivation of the VAE is not as widely understood. In this tutorial, we will provide an overview of the VAE and a tour through various derivations and interpretations of the VAE objective. From a probabilistic standpoint, we will examine the VAE through the lens of Bayes' Rule, importance sampling, and the change-of-variables formula. From an information
arXiv:2006.10273v2
fatcat:qevuyc6vrrhg7lcvlkkerowixi