Sanket Shah

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 29

Top Topics

Agnostic Learning

Indian Languages

Reinforcement Learning

Speech Recognition

Top Venues

Publications

Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning. CoRR (2024)
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe
Evaluating the Effectiveness of Index-Based Treatment Allocation. CoRR (2024)
Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning. AAMAS (2024)
Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. AAAI (2024)
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. AAAI (2023)
Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize. CoRR (2023)
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. CoRR (2022)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Joint Pricing and Matching for City-Scale Ride-Pooling. ICAPS (2022)
Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS (2022)
Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems. CoRR (2022)
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning. CoRR (2021)
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning. NeurIPS (2021)
Naveen Raman, Sanket Shah, John Dickerson
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. CoRR (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR (2021)
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, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan, Tejaswi Seeram, Basil Abraham
Multilingual and code-switching ASR challenges for low resource Indian languages. CoRR (2021)
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, Preethi Jyothi, Kalika Bali, Vivek Seshadri, Sunayana Sitaram, Samarth Bharadwaj, Jai Nanavati, Raoul Nanavati, Karthik Sankaranarayanan
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. Interspeech (2021)
Naveen Raman, Sanket Shah, John P. Dickerson
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. IJCAI (2021)
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD (2021)
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI (2020)
Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham, Vikas Joshi, Sunayana Sitaram
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition. CoRR (2020)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI (2020)
Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. CoRR (2020)
Sanket Shah, Basil Abraham, Gurunath Reddy M, Sunayana Sitaram, Vikas Joshi
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. CoRR (2020)
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR (2019)
Pratik Joshi, Christain Barnes, Sebastin Santy, Simran Khanuja, Sanket Shah, Anirudh Srinivasan, Satwik Bhattamishra, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities. CoRR (2019)
Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR (2019)
Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar
KVQA: Knowledge-Aware Visual Question Answering. AAAI (2019)
Sanket Shah, Sunayana Sitaram
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. ICDM Workshops (2019)
Priyank Shah, Sanket Shah
Portfolio Optimization in Dynamic Environments Using MemSPEAII. MIKE (2017)
Jejung Lee, Yugyung Lee, Sanket Shah, James Geller
HIS-KCWater: context-aware geospatial data and service integration. SAC (2007)
Sanket Shah, Tularam M. Bansod, Amit Singh
Design and Implementation of a Network Processor Based 10Gbps Network Traffic Generator. ICDCN (2006)