Variational Predictive Information Bottleneck

Alexander A. Alemi

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arXiv · 1910.10831

Variational Predictive Information Bottleneck

Alexander A. Alemi

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Abstract

In classic papers, Zellner demonstrated that Bayesian inference could be derived as the solution to an information theoretic functional. Below we derive a generalized form of this functional as a variational lower bound of a predictive information bottleneck objective. This generalized functional encompasses most modern inference procedures and suggests novel ones.

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Alexander A. Alemi. 2019-10-23. Variational Predictive Information Bottleneck. https://arxiv.org/abs/1910.10831

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