Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects

Karine Chubarian, Johnny Joyce, Gyorgy Turan
1/14/2025
cs.LGcs.AI

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Abstract

The tree-width of a multivariate polynomial is the tree-width of the hypergraph with hyperedges corresponding to its terms. Multivariate polynomials of bounded tree-width have been studied by Makowsky and Meer as a new sparsity condition that allows for polynomial solvability of problems which are intractable in general. We consider a variation on this theme for Boolean variables. A representation of a Boolean function as the sign of a polynomial is called a polynomial threshold representation. We discuss Boolean functions representable as polynomial threshold functions of bounded tree-width and present two applications to Bayesian network classifiers, a probabilistic graphical model. Both applications are in Explainable Artificial Intelligence (XAI), the research area dealing with the black-box nature of many recent machine learning models. We also give a separation result between the representational power of positive and general polynomial threshold functions.

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Cite this paper

@article{chubarian2025polynomial,
  title  = {Polynomial Threshold Functions of Bounded Tree-Width: Some Explainability and Complexity Aspects},
  author = {Karine Chubarian and Johnny Joyce and Gyorgy Turan},
  year   = {2025},
  eprint = {2501.08297},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.08297v1}
}

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