doubly robust estimation

Wasserstein Policy Learning for Distributional Outcomes COLT 2026 Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials ICML 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response JMLR 2025 Robust Offline Policy Learning with Observational Data from Multiple Sources AISTATS 2025 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 Policy Learning for Localized Interventions from Observational Data AISTATS 2024 An Efficient Doubly-Robust Test for the Kernel Treatment Effect NeurIPS 2023 Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models JMLR 2023 Counterfactually Comparing Abstaining Classifiers NeurIPS 2023 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Stateful Offline Contextual Policy Evaluation and Learning AISTATS 2022 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Doubly-Robust Lasso Bandit NeurIPS 2019 Efficient augmentation and relaxation learning for individualized treatment rules using observational data JMLR 2019 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018