Bucket renormalization for approximate inference

DOI10.1088/1742-5468/ab3218zbMath1459.62094arXiv1803.05104OpenAlexW3102787195MaRDI QIDQ5854127

Sungsoo Ahn, Adrian Weller, Michael Chertkov, Jinwoo Shin

Publication date: 16 March 2021

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

Full work available at URL: https://arxiv.org/abs/1803.05104

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Approximation algorithms (68W25) Probabilistic graphical models (62H22)

Uses Software

• darch

Cites Work

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• Probability propagation
• Learning low-level vision
• Bucket elimination: A unifying framework for reasoning
• Reducing the Dimensionality of Data with Neural Networks
• Polynomial-Time Approximation Algorithms for the Ising Model
• Mini-buckets
• A New Class of Upper Bounds on the Log Partition Function
• Codes on graphs: normal realizations
• Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition

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