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01/06/2022
Super-Reparametrizations of Weighted CSPs: Properties and Optimization Perspective
The notion of reparametrizations of Weighted CSPs (WCSPs) (also known as...
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06/23/2021
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming
Bayesian networks are probabilistic graphical models with a wide range o...
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06/29/2015
Exact and approximate inference in graphical models: variable elimination and beyond
Probabilistic graphical models offer a powerful framework to account for...
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01/15/2014