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Contrastive Predict-and-Search for Mixed Integer Linear Programs

Taoan Huang,Aaron Ferber,Arman Zharmagambetov

2024 · DBLP: conf/icml/HuangFZTD24
International Conference on Machine Learning · 27 Citations

TLDR

A novel machine learning-based framework ConPaS that learns to predict solutions to MILPs with contrastive learning that achieves state-of-the-art results compared to other ML-based approaches in terms of the quality of and the speed at which the solutions are found.