arxiv
PublishedApril 2, 2026 at 4:00 AM
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The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
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arXiv:2511.13018v3 Announce Type: replace Abstract: The R-Learner is a powerful, theoretically-grounded framework for estimating heterogeneous treatment effects, prized for its robustness to nuisance model errors. However, its application to network data, where causal heterogeneity is often graph-de
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