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ENTITY X-Learner

X-Learner

PulseAugur coverage of X-Learner — every cluster mentioning X-Learner across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_55965 ·

    New GP-CATE method improves treatment effect estimation with calibrated uncertainty

    Researchers have developed GP-CATE, a novel method for estimating conditional average treatment effects (CATE) with calibrated uncertainty intervals, particularly in scenarios with limited data for one treatment group (…

  2. RESEARCH · CL_14038 ·

    SHIFT estimator improves robust double machine learning for heavy-tailed data

    Researchers have developed SHIFT, a new robust estimator for Double Machine Learning (DML) pipelines designed to handle heavy-tailed data contamination. SHIFT combines cross-fit nuisance orthogonalization with a kernel-…