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Conditional Average Treatment Effect Distillation for Hypothetical State-Intervention Targeting Under Budget Constraints

Acharya, Vasundhara et al.
arXiv (All) · Papers
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machine-learning
Personalized public-health targeting must capture heterogeneous intervention benefits while remaining interpretable under resource constraints. Flexible causal-effect models can be hard to operationalize, while coarse subgroup policies may lose individualized effect information. We study budget-cons
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