Bucket Renormalization for Approximate Inference

Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin

Abstract: Probabilistic graphical models are a key tool in machine learning applications. Computing the partition function, i.e., normalizing constant, is a fundamental task of statistical inference but is g...