Code and Data Repository for Inference in Higher-order Undirected Graphical Models and Binary Polynomial Optimization

This project explores the use of Linear Programming (LP) relaxations for inference in higher-order undirected graphical models.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2025-03-13
DOI
https://doi.org/10.1287/ijoc.2024.0776.cd
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Code and Data Repository for Inference in Higher-order Undirected Graphical Models and Binary Polynomial Optimization

Aida Khajavirad, Yakun Wang
INFORMS journal on computing
Advanced Data Processing Techniques
article

Code and Data Repository for Inference in Higher-order Undirected Graphical Models and Binary Polynomial Optimization

Aida Khajavirad, Yakun Wang
article en

Abstract

This project explores the use of Linear Programming (LP) relaxations for inference in higher-order undirected graphical models.

INFORMS journal on computing
Openalex Percentile: Top 95%
Advanced Data Processing Techniques
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Code and Data Repository for Inference in Higher-order Undirected Graphical Models and Binary Polynomial Optimization — Aida Khajavirad, Yakun Wang · INFORMS journal on computing (2025) | TGRS Research Map | TGRS