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Sanket Shah
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2020 – today
- 2024
- [c16]Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe:
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. AAAI 2024: 14902-14909 - [c15]Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja:
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning. AAMAS 2024: 1701-1709 - [i15]Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe:
Evaluating the Effectiveness of Index-Based Treatment Allocation. CoRR abs/2402.11771 (2024) - [i14]Sanket Shah, Arun Sai Suggala, Milind Tambe, Aparna Taneja:
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning. CoRR abs/2403.05683 (2024) - 2023
- [c14]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: 12138-12146 - [i13]Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe:
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize. CoRR abs/2305.16830 (2023) - 2022
- [c13]Sanket Shah, Meghna Lowalekar, Pradeep Varakantham:
Joint Pricing and Matching for City-Scale Ride-Pooling. ICAPS 2022: 499-507 - [c12]Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses. NeurIPS 2022 - [i12]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 abs/2202.00916 (2022) - [i11]Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe:
Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems. CoRR abs/2203.16067 (2022) - 2021
- [c11]Naveen Raman, Sanket Shah, John P. Dickerson:
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. IJCAI 2021: 363-369 - [c10]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: 2446-2450 - [c9]Jackson A. Killian, Arpita Biswas
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. KDD 2021: 871-881 - [c8]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: 8795-8806 - [i10]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 abs/2104.00235 (2021) - [i9]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 abs/2106.03279 (2021) - [i8]Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe:
Q-Learning Lagrange Policies for Multi-Action Restless Bandits. CoRR abs/2106.12024 (2021) - [i7]Naveen Raman, Sanket Shah, John Dickerson:
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. CoRR abs/2110.03524 (2021) - 2020
- [c7]Sanket Shah
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI 2020: 507-515 - [c6]Sanket Shah
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI 2020: 2226-2235 - [i6]Sanket Shah, Basil Abraham, Gurunath Reddy M, Sunayana Sitaram, Vikas Joshi:
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition. CoRR abs/2006.00782 (2020) - [i5]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 abs/2006.05257 (2020) - [i4]Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram:
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages. CoRR abs/2011.06226 (2020)
2010 – 2019
- 2019
- [c5]Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar:
KVQA: Knowledge-Aware Visual Question Answering. AAAI 2019: 8876-8884 - [c4]Sanket Shah, Sunayana Sitaram:
Using Monolingual Speech Recognition for Spoken Term Detection in Code-switched Hindi-English Speech. ICDM Workshops 2019: 1-5 - [i3]Sanket Shah
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR abs/1911.08799 (2019) - [i2]Sanket Shah
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR abs/1911.08842 (2019) - [i1]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 abs/1912.03457 (2019) - 2017
- [c3]Priyank Shah, Sanket Shah:
Portfolio Optimization in Dynamic Environments Using MemSPEAII. MIKE 2017: 424-436
2000 – 2009
- 2007
- [c2]Jejung Lee, Yugyung Lee, Sanket Shah, James Geller:
HIS-KCWater: context-aware geospatial data and service integration. SAC 2007: 24-29 - 2006
- [c1]Sanket Shah, Tularam M. Bansod, Amit Singh:
Design and Implementation of a Network Processor Based 10Gbps Network Traffic Generator. ICDCN 2006: 269-275
Coauthor Index
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last updated on 2024-05-05 00:10 CEST by the dblp team
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