Publications

Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe (2024). Evaluating the Effectiveness of Index-Based Treatment Allocation. In Submission.

Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe (2024). Group Fairness in Predict-Then-Optimize Settings for Restless Bandits. UAI-24.

Sanket Shah, Arun Suggala, Milind Tambe, Aparna Taneja (2024). Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning. AAMAS-24.

Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe (2024). Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize. AAAI-24.

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Sanket Shah, Shresth Verma, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Aparna Taneja, Milind Tambe (2023). Preliminary Results in Low-Listenership Prediction in One of theLargest Mobile Health Programs in theWorld. AASG-23 Workshop.

Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe (2023). Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. AAAI-23.

Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe (2022). Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS-22.

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Sanket Shah, Meghna Lowalekar, Pradeep Varakantham (2022). Joint Pricing and Matching for City-Scale Ride-Pooling. In ICAPS-2022.

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Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe (2021). Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. In NeurIPS-21.

Ashwin Kumar, Sanket Shah, Meghna Lowalekar, Pradeep Varakantham, Alvitta Ottley, William Yeoh (2021). FairVizARD: A Visualization System for Assessing Fairness of Ride-Sharing Matching Algorithms. In ICAPS-2021.

Naveen Raman, Sanket Shah, John Dickerson (2021). Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. In IJCAI-21.

Jackson Killian, Arpita Biswas, Sanket Shah, Milind Tambe (2020). Q-Learning Lagrange Policies for Multi-Action Restless Bandits. In KDD-21.

Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe (2020). Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. In AAAI-20.

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Sanket Shah, Meghna Lowalekar, Pradeep Varakantham (2020). Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. In AAAI-20.