semiparametric efficiency

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 Estimation and Inference for Causal Explainability CLeaR 2026 Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects AISTATS 2025 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency JMLR 2023 Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 Adaptive estimation of nonparametric functionals JMLR 2021 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Efficient augmentation and relaxation learning for individualized treatment rules using observational data JMLR 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019