The paper introduces a tunable, policy-targeted CATE estimator (PT-CATE) that trades prediction error against decision performance, though its central suboptimality proof is incomplete.
Policy learning with observational data
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Treatment Effect Estimation for Optimal Decision-Making
The paper introduces a tunable, policy-targeted CATE estimator (PT-CATE) that trades prediction error against decision performance, though its central suboptimality proof is incomplete.