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Experiential Preference Elicitation for Autonomous Heating and Cooling Systems., and . AAMAS, page 431-439. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Collapsing Bandits and Their Application to Public Health Interventions., , , , and . CoRR, (2020)Strategy-Proofness in the Stable Matching Problem with Couples., , and . AAMAS, page 132-140. ACM, (2016)Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems., , , and . CoRR, (2022)Robust Spatial-Temporal Incident Prediction., , , , , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 360-369. AUAI Press, (2020)Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses., , , , and . NeurIPS, (2022)Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games., , , and . AAMAS, page 1449-1457. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits., , and . AAMAS, page 710-718. ACM, (2021)Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits., , and . AAMAS, page 880-888. ACM, (2021)SAT Is an Effective and Complete Method for Solving Stable Matching Problems with Couples., , and . IJCAI, page 518-525. AAAI Press, (2015)