Variational Predictive Information Bottleneck

In classic papers, Zellner [1988, 2002] 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.

• Machine Intelligence

• Algorithms and Theory