Shah, Sanket

10 publications

AAAI 2025 Evaluating Index-Based Treatment Allocation in Underresourced Communities Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe

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

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

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

NeurIPS 2022 Decision-Focused Learning Without Decision-Making: Learning Locally Optimized Decision Losses Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe

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

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

AAAI 2020 Neural Approximate Dynamic Programming for On-Demand Ride-Pooling Sanket Shah, Meghna Lowalekar, Pradeep Varakantham

AAAI 2020 Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

AAAI 2019 KVQA: Knowledge-Aware Visual Question Answering Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar