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nuisance function

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causal inference (3) doubly robust estimator (2) asymptotic normality (2) partially linear model (1) neyman-orthogonal score (1) proximal causal learning (1) spatial confounding (1) causal effect inference (1) spatially varying effect (1) efficient influence function (1)

Papers

Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025 Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract) COLT 2025 Doubly Robust Proximal Causal Learning for Continuous Treatments ICLR 2024 Multi-Source Conformal Inference Under Distribution Shift ICML 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023 Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding ICML 2019