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Discrete optimization: the curse of dimensionality
Karen Aardal - Machine-learning augmented branch-and-bound for mixed-integer linear optimization
Learning (Discrete) Optimization- Andrea Lodi #reworkDL
How optimization for machine learning works, part 1
Elias Khalil, Learning in Discrete Optimization
Emma Frejinger - Fast Heuristic L-Shaped Method Through Machine Learning
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Beyond RL and GNNs Rethinking Discrete Optimization
Louv31x 2022 s06 ss05 v01 Discrete Optimization in CP
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Last Updated: September 28, 2026
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2018-11-16 Bistra Dilkina, USC Abstract: This talk focuses on a novel fruitful synergy between Abstract: Graph Neural Networks (GNNs) have become a popular tool for Ellen Vitercik (Stanford University) simons.berkeley.edu/talks/ellen-vitercik-stanford-university-2025-08-14 Graph We now change the subject to talk about
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