Aditya Mate

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Infectious Disease

Top Venues

Publications

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 (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)
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)
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. CoRR (2023)
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)
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. ICML (2023)
Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. CoRR (2023)
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) (2023)
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
Solving structured hierarchical games using differential backward induction. UAI (2022)
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)
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)
Aditya Mate, Andrew Perrault, Milind Tambe
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits. AAMAS (2021)
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
Solving Structured Hierarchical Games Using Differential Backward Induction. CoRR (2021)
Aditya Mate
AI for Planning Public Health Interventions. IJCAI (2021)
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 (2021)
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 (2021)
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 (2021)
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems. CoRR (2021)
Bejjipuram Sombabu, Aditya Mate, D. Manjunath, Sharayu Moharir
Whittle Index for AoI-Aware Scheduling. COMSNETS (2020)
Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS (2020)
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
Collapsing Bandits and Their Application to Public Health Interventions. CoRR (2020)
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)
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
Collapsing Bandits and Their Application to Public Health Intervention. NeurIPS (2020)
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR (2019)