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Research map / Learning theory and algorithms / Combinatorial and search optimization

Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation

AAAI 2020 · Learning theory and algorithms › Combinatorial and search optimization · approach: Unsupervised neural combinatorial optimization · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
increase number of hard constraints in target model (ablation)HASSLE · synthetic MAX-SATprecisionHurt
increase number of training contexts from 2 to 10 (ablation)HASSLE · synthetic MAX-SATprecision: +4%Helped
increase number of positive and negative examples (ablation)HASSLE · synthetic MAX-SAT (n=10)precision and regretHelped

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