A new meta-learner, the H-learner, interpolates between indirect and direct regularization for CATE estimation and shows small but consistent PEHE improvements on IHDP and ACIC 2016.
Adapting neural networks for the estimation of treatment effects
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Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
A new meta-learner, the H-learner, interpolates between indirect and direct regularization for CATE estimation and shows small but consistent PEHE improvements on IHDP and ACIC 2016.