AI RESEARCH
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
arXiv CS.LG
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ArXi:2310.14161v2 Announce Type: replace Machine learning has been successfully applied to improve the efficiency of Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances -- especially on large-scale instances from a perturbed environment -- due to the limited diversity of