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2020 – today
- 2024
[i11]Conor M. Artman, Aditya Mate, Ezinne Nwankwo, Aliza Heching, Tsuyoshi Idé, Jirí Navrátil, Karthikeyan Shanmugam, Wei Sun, Kush R. Varshney, Lauri Goldkind, Gidi Kroch, Jaclyn Sawyer, Ian Watson:
A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food. CoRR abs/2403.10638 (2024)- 2023
- [j1]Shresth Verma
, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Expanding impact of mobile health programs: SAHELI for maternal and child care. AI Mag. 44(4): 363-376 (2023) - [c13]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 - [c12]Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja:
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. AAAI 2023: 15594-15602 - [c11]Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe:
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS 2023: 1312-1320 - [c10]Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe:
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. ICML 2023: 24198-24213 - [i10]Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe:
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. CoRR abs/2301.07835 (2023) - [i9]Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe:
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. CoRR abs/2302.02570 (2023) - 2022
- [c9]Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. AAAI 2022: 12017-12025 - [c8]Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe:
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. AAMAS 2022: 880-888 - [c7]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving structured hierarchical games using differential backward induction. UAI 2022: 1107-1117 - [i8]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) - 2021
- [c6]Aditya Mate, Andrew Perrault, Milind Tambe:
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. AAMAS 2021: 880-888 - [c5]Aditya Mate:
AI for Planning Public Health Interventions. IJCAI 2021: 4901-4902 - [i7]Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik:
A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR abs/2102.10646 (2021) - [i6]Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe:
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. CoRR abs/2103.04730 (2021) - [i5]Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe:
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR abs/2103.09052 (2021) - [i4]Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik:
Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR abs/2106.04663 (2021) - [i3]Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health. CoRR abs/2109.08075 (2021) - 2020
- [c4]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI 2020: 1378-1386 - [c3]Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe:
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS 2020: 1449-1457 - [c2]Bejjipuram Sombabu, Aditya Mate, D. Manjunath, Sharayu Moharir:
Whittle Index for AoI-Aware Scheduling. COMSNETS 2020: 630-633 - [c1]Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe:
Collapsing Bandits and Their Application to Public Health Intervention. NeurIPS 2020 - [i2]Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe:
Collapsing Bandits and Their Application to Public Health Interventions. CoRR abs/2007.04432 (2020)
2010 – 2019
- 2019
- [i1]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR abs/1903.00958 (2019)
Coauthor Index
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last updated on 2024-10-02 21:37 CEST by the dblp team
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