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cs.LG2022
DOGE-Train: Discrete Optimization on GPU with End-to-end Training
Ahmed Abbas, Paul Swoboda
We present a fast, scalable, data-driven approach for solving relaxations of 0-1 integer linear programs. We use a combination of graph neural networks (GNN) and the Lagrange decom…
cs.LG2022★ 4 cited
Structured Prediction Problem Archive
Paul Swoboda, Bjoern Andres, Andrea Hornakova +6
Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one pl…