61 citations · 253 across the 29 of their papers we have counts for
34 papers
Identity, Incentives, and Cooperative Behavior for AI: Reverse-Engineering Multiagent Cooperation
Andrew Perrault, Bryan Wilder
The behavior of AI systems increasingly depends on the extent to which agents cooperate or coordinate with one another, in ways that may be desirable or not depending on the situat…
Reinforcement learning with combinatorial actions for coupled restless bandits
Lily Xu, Bryan Wilder, Elias B. Khalil +1
Reinforcement learning (RL) has increasingly been applied to solve real-world planning problems, with progress in handling large state spaces and time horizons. However, a key bott…
Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla +4
Automated voice calls are an effective method of delivering maternal and child health information to mothers in underserved communities. One method to fight dwindling listenership…
Federated Epidemic Surveillance
Ruiqi Lyu, Roni Rosenfeld, Bryan Wilder
Epidemic surveillance is a challenging task, especially when crucial data is fragmented across institutions and data custodians are unable or unwilling to share it. This study aims…
Computationally Assisted Quality Control for Public Health Data Streams
Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld +1
Irregularities in public health data streams (like COVID-19 Cases) hamper data-driven decision-making for public health stakeholders. A real-time, computer-generated list of the mo…
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce, Carlos Patino +1
Large-scale datasets are increasingly being used to inform decision making. While this effort aims to ground policy in real-world evidence, challenges have arisen as selection bias…