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cs.LG2023★ 2 cited
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning
Haoyu Wang, Pan Li
A general framework of unsupervised learning for combinatorial optimization (CO) is to train a neural network (NN) whose output gives a problem solution by directly optimizing the…
cs.LG2022★ 4 cited
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang, Nan Wu, Hang Yang +2
Using machine learning to solve combinatorial optimization (CO) problems is challenging, especially when the data is unlabeled. This work proposes an unsupervised learning framewor…