Belief propagation: accurate marginals or accurate partition function—where is the difference?

DOI10.1088/1742-5468/abcaefOpenAlexW3117045293MaRDI QIDQ5857457

Franz Pernkopf, Christian Knoll

Publication date: 1 April 2021

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1742-5468/abcaef

zbMATH Keywords

machine learning

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Bethe states of random factor graphs
• Approximate inference in Boltzmann machines
• The computational complexity of probabilistic inference using Bayesian belief networks
• A New Class of Upper Bounds on the Log Partition Function
• Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
• Graphical Models, Exponential Families, and Variational Inference
• Information, Physics, and Computation
• Factor graphs and the sum-product algorithm
• Survey propagation: An algorithm for satisfiability
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