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stat.ML2026
Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions
Xinyun Lu, Haoang Chi, Zhiheng Zhang
In selective deployment, practitioners act only on a model-chosen subset of individuals based on predicted conditional average treatment effects, but marginal conformal guarantees…
stat.ME2026
Design-based edge-level causal inference with machine learning assisted covariate adjustment
Haoyang Yu, Yilin Li, Lu Deng +3
We study design-based causal inference for edge-level outcomes in directed networks under dyadic interference. In this setting, outcomes are defined on directed edges and depend on…