Graph polynomials and approximation of partition functions with Loopy Belief Propagation
Abstract
The Bethe approximation, or loopy belief propagation algorithm is a successful method for approximating partition functions of probabilistic models associated with a graph. Chertkov and Chernyak derived an interesting formula called Loop Series Expansion, which is an expansion of the partition function. The main term of the series is the Bethe approximation while other terms are labeled by subgraphs called generalized loops. In our recent paper, we derive the loop series expansion in form of a polynomial with coefficients positive integers, and extend the result to the expansion of marginals. In this paper, we give more clear derivation for the results and discuss the properties of the polynomial which is introduced in the paper.
Cite
@article{arxiv.0903.4527,
title = {Graph polynomials and approximation of partition functions with Loopy Belief Propagation},
author = {Yusuke Watanabe and Kenji Fukumizu},
journal= {arXiv preprint arXiv:0903.4527},
year = {2009}
}
Comments
7 pages. The 9th conference of Japanese Society for Artificial Intelligence, Special Interest Group on Data Mining and Statistical Mathematics (JSAI SIG-DMSM) in Kyoto 2009, March 3,4 Minor typos corrected