🏢 State University of New York at Binghamton
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
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AI Theory
Causality
🏢 State University of New York at Binghamton
Estimating heterogeneous treatment effects (CATE) under unmeasured confounding is revolutionized by a novel non-parametric direct learning approach using instrumental variables, offering efficient and…