Sum-of-Products with Default Values: Algorithms and Complexity Results
Abstract
Weighted Counting for Constraint Satisfaction with Default Values (#CSPD) is a powerful special case of the sum-of-products problem that admits succinct encodings of #CSP, #SAT, and inference in probabilistic graphical models. We investigate #CSPD under the fundamental parameter of incidence treewidth (i.e., the treewidth of the incidence graph of the constraint hypergraph). We show that if the incidence treewidth is bounded, #CSPD can be solved in polynomial time. More specifically, we show that the problem is fixed-parameter tractable for the combined parameter incidence treewidth, domain size, and support size (the maximum number of non-default tuples in a constraint). This generalizes known results on the fixed-parameter tractability of #CSPD under the combined parameter primal treewidth and domain size. We further prove that the problem is not fixed-parameter tractable if any of the three components is dropped from the parameterization.
Cite
Text
Ganian et al. "Sum-of-Products with Default Values: Algorithms and Complexity Results." Journal of Artificial Intelligence Research, 2022. doi:10.1613/JAIR.1.12370Markdown
[Ganian et al. "Sum-of-Products with Default Values: Algorithms and Complexity Results." Journal of Artificial Intelligence Research, 2022.](https://mlanthology.org/jair/2022/ganian2022jair-sumofproducts/) doi:10.1613/JAIR.1.12370BibTeX
@article{ganian2022jair-sumofproducts,
title = {{Sum-of-Products with Default Values: Algorithms and Complexity Results}},
author = {Ganian, Robert and Kim, Eun Jung and Slivovsky, Friedrich and Szeider, Stefan},
journal = {Journal of Artificial Intelligence Research},
year = {2022},
pages = {535-552},
doi = {10.1613/JAIR.1.12370},
volume = {73},
url = {https://mlanthology.org/jair/2022/ganian2022jair-sumofproducts/}
}