Learning Risk Scores Robust to Unobserved Confounders
We consider the problem of learning risk scores to prioritize individuals for scarce resources or interventions, from historical observational data affected by unobserved confounding. Decisions about who receives scarce resources are often guided by risk scores based on recorded characteristics, such as responses to a...
Ryan Edmonds, Ying-Xiao Ye, S. Aghaei et al.
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