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math.OC2022
Constrained Shortest-Path Reformulations via Decision Diagrams for Structured Two-stage Optimization Problems
Leonardo Lozano, David Bergman, Andre A. Cire
Many discrete optimization problems are amenable to constrained shortest-path reformulations in an extended network space, a technique that has been key in convexification, bound s…
cs.LG2022
Constraint Learning to Define Trust Regions in Predictive-Model Embedded Optimization
Chenbo Shi, Mohsen Emadikhiav, Leonardo Lozano +1
There is a recent proliferation of research on the integration of machine learning and optimization. One expansive area within this research stream is predictive-model embedded opt…