Sotabase

Career

· Applied Scientist-2, Microsoft2023–
· Research Intern, Google Research2022–
· Research Intern, Google Research2021–
· Research Intern, IBM Research2021–
· PhD in Computer Science, Harvard University2018–
· B.Tech and M.Tech (integrated dual degree), Indian Institute of Technology, Bombay2018–
· R&D Intern, Sony Corporation2016–

Publications (52)

Collapsing Bandits and Their Application to Public Health Interventions
Neural Information Processing Systems · 2020
73
cited
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health
AAAI Conference on Artificial Intelligence · 2021
68
cited
Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City
Proceedings of the National Academy of Sciences of the United States of America · 2020
58
cited
The Role of Age Distribution and Family Structure on COVID-19 Dynamics: A Preliminary Modeling Assessment for Hubei and Lombardy
2020
46
cited
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits
Adaptive Agents and Multi-Agent Systems · 2021
38
cited
End-to-End Game-Focused Learning of Adversary Behavior in Security Games
AAAI Conference on Artificial Intelligence · 2019
26
cited
Whittle Index for AoI-Aware Scheduling
International Conference on Communication Systems and Networks · 2020
24
cited
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
AAAI Conference on Artificial Intelligence · 2022
16
cited
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games
Adaptive Agents and Multi-Agent Systems · 2020
15
cited
Evaluating COVID-19 Lockdown Policies For India: A Preliminary Modeling Assessment for Individual States
2020
13
cited
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning
Adaptive Agents and Multi-Agent Systems · 2023
12
cited
An Exploratory Study of a Masking Strategy of Cyberdeception Using CyberVAN
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2020
11
cited
Decision-Focused Learning of Adversary Behavior in Security Games
arXiv.org · 2019
10
cited
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Adaptive Agents and Multi-Agent Systems · 2021
10
cited
Solving Structured Hierarchical Games Using Differential Backward Induction
Conference on Uncertainty in Artificial Intelligence · 2021
10
cited
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes
arXiv.org · 2021
9
cited
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care
AAAI Conference on Artificial Intelligence · 2023
8
cited
Expanding impact of mobile health programs: SAHELI for maternal and child care
The AI Magazine · 2023
6
cited
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain
arXiv.org · 2022
5
cited
Developing a general purpose data collector framework for robots
Proceedings of the 13th International Carpathian Control Conference (ICCC) · 2012
5
cited
Sotabase
Aditya Mate | Researcher Profile | Sotabase | Sotabase