Search Results for author: Jason M. Eisner

Found 1 papers, 0 papers with code

Learning to Search in Branch and Bound Algorithms

no code implementations NeurIPS 2014 He He, Hal Daume III, Jason M. Eisner

Branch-and-bound is a widely used method in combinatorial optimization, including mixed integer programming, structured prediction and MAP inference.

Combinatorial Optimization Imitation Learning +1

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