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07/18/2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Recent works in learning-integrated optimization have shown promise in s...
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02/03/2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
Integer Linear Programs (ILPs) are powerful tools for modeling and solvi...
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12/15/2022
Local Branching Relaxation Heuristics for Integer Linear Programs
Large Neighborhood Search (LNS) is a popular heuristic algorithm for sol...
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10/22/2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
Optimization problems with expensive nonlinear cost functions and combin...
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09/07/2022
The (Un)Scalability of Heuristic Approximators for NP-Hard Search Problems
The A* algorithm is commonly used to solve NP-hard combinatorial optimiz...
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12/10/2020
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search
Conflict-Based Search (CBS) is a state-of-the-art algorithm for multi-ag...
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02/21/2020
Green Security Game with Community Engagement
While game-theoretic models and algorithms have been developed to combat...
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07/20/2019