Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay

Abstract

Belief propagation is a fundamental message-passing algorithm for probabilistic reasoning and inference in graphical models. While it is known to be exact on trees, in most applications belief propagation is run on graphs with cycles. Understanding the behavior of