Design and Implementation of a Network Processor Based 10Gbps Network Traffic Generator. - Sanket Shah; Tularam M. Bansod; Amit Singh (ICDCN, 2006)

HIS-KCWater: context-aware geospatial data and service integration. - Jejung Lee; Yugyung Lee; Sanket Shah; James Geller (SAC, 2007)

Portfolio Optimization in Dynamic Environments Using MemSPEAII. - Priyank Shah; Sanket Shah (MIKE, 2017)

KVQA: Knowledge-Aware Visual Question Answering. - Sanket Shah; Anand Mishra 001; Naganand Yadati; Partha Pratim Talukdar (AAAI, 2019)

Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. - Sanket Shah; Sunayana Sitaram (ICDM Workshops, 2019)

Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. - Pratik Joshi; Christain Barnes; Sebastin Santy; Simran Khanuja; Sanket Shah; Anirudh Srinivasan; Satwik Bhattamishra; Sunayana Sitaram; Monojit Choudhury; Kalika Bali (CoRR, 2019)

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, 2020)

Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. - Sanket Shah; Basil Abraham; Gurunath Reddy M; Sunayana Sitaram; Vikas Joshi (CoRR, 2020)

Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition. - Gurunath Reddy Madhumani; Sanket Shah; Basil Abraham; Vikas Joshi; Sunayana Sitaram (CoRR, 2020)

Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. - Sanket Shah; Satarupa Guha; Simran Khanuja; Sunayana Sitaram (CoRR, 2020)

Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. - Naveen Raman 001; Sanket Shah; John P. Dickerson (IJCAI, 2021)

MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. - Anuj Diwan; Rakesh Vaideeswaran; Sanket Shah; Ankita Singh; Srinivasa Raghavan K. M.; Shreya Khare; Vinit Unni; Saurabh Vyas; Akash Rajpuria; Chiranjeevi Yarra; Ashish R. Mittal; Prasanta Kumar Ghosh; et al. (Interspeech, 2021)

Q-Learning Lagrange Policies for Multi-Action Restless Bandits. - Jackson A. Killian; Arpita Biswas; Sanket Shah; Milind Tambe (KDD, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (NeurIPS, 2021)

Multilingual and code-switching ASR challenges for low resource Indian languages. - Anuj Diwan; Rakesh Vaideeswaran; Sanket Shah; Ankita Singh; Srinivasa Raghavan K. M.; Shreya Khare; Vinit Unni; Saurabh Vyas; Akash Rajpuria; Chiranjeevi Yarra; Ashish R. Mittal; Prasanta Kumar Ghosh; et al. (CoRR, 2021)

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. - Kai Wang 040; Sanket Shah; Haipeng Chen 001; Andrew Perrault; Finale Doshi-Velez; Milind Tambe (CoRR, 2021)

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

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. - Sanket Shah; Kai Wang 040; Bryan Wilder; Andrew Perrault; Milind Tambe (NeurIPS, 2022)

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (CoRR, 2022)

Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems. - Sanket Shah; Bryan Wilder; Andrew Perrault; Milind Tambe (CoRR, 2022)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (AAAI, 2023)

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

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

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

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

You Don't Know Jack About AI: And ChatGPT probably doesn't either. - Sonja Johnson-Yu; Sanket Shah (ACM Queue, 2024)

Evaluating Index-based Treatment Allocation in Underresourced Communities. - Niclas Boehmer; Yash Nair; Sanket Shah; Lucas Janson; Aparna Taneja; Milind Tambe (AAAI, 2025)

IndicST: Indian Multilingual Translation Corpus For Evaluating Speech Large Language Models. - Sanket Shah; Kavya Ranjan Saxena; Kancharana Manideep Bharadwaj; Sharath Adavanne; Nagaraj Adiga (ICASSP Workshops, 2025)

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation. - Guojun Xiong; Haichuan Wang; Yuqi Pan; Saptarshi Mandal; Sanket Shah; Niclas Boehmer; Milind Tambe (AAMAS, 2025)

Analyzing Cost-Sensitive Surrogate Losses via ℋ-calibration. - Sanket Shah; Milind Tambe; Jessie Finocchiaro (CoRR, 2025)