Constraint-Based Reasoning
"The Crossword puzzle (CP) is a simple problem to illustrate the formalization process of a problem into a CSP. The problem is to place words of a dictionary in a given structure satisfying certain constraints. The variables are the rows and columns in the crossword, and their values are the words in a dictionary."
– Marc Torrens. An Application using the JCL: The Air Travel Planning System. Diploma Thesis, 1997, Chapter 1, Section 1.2.1.
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Learning-AugmentedApproximationAlgorithmsfor MaximumCutandRelatedProblems
Neural Information Processing Systems
In this paper, we study the role of machine-learned predictions inofflineNP-hard problems. For offline problems, an algorithm has no information disadvantage compared to an optimal solution: thedisadvantage iscomputational.
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Online Constrained Meta-Learning: Provable Guarantees for Generalization
Neural Information Processing Systems
However, most existing meta-learning approaches only can learn from tasks without any constraint.
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