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AI and public health
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Recent Publications
Participatory Objective Design via Preference Elicitation
Using Property Elicitation to Understand the Impacts of Fairness Regularizers
Just probabilities
Making machine learning matter to clinicians: model actionability in medical decision-making
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
Learning under adversarial and interventional shifts
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Publications on Conservation
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Space, Time, and Counts: Improved Human vs Animal Detection in Thermal Infrared Drone Videos for Prevention of Wildlife Poaching
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
In the Shadow of Disaster: Finding Shadows to Improve Damage Detection
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