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cs.LG2024
Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
Bo Tang, Elias B. Khalil, Ján Drgoňa
Mixed-integer nonlinear programs (MINLPs) arise in domains such as energy systems, process engineering, and transportation, and are notoriously difficult to solve at scale due to t…
cs.LG2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
Bo Tang, Elias B. Khalil
The end-to-end predict-then-optimize framework, also known as decision-focused learning, has gained popularity for its ability to integrate optimization into the training procedure…