doubly robust estimator

Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 Causal Inference amid Missingness-Specific Independences and Mechanism Shifts UAI 2025 Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation ICML 2025 Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data JMLR 2025 Linear Bandits with Partially Observable Features ICML 2025 Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies ICML 2025 Stabilized Inverse Probability Weighting via Isotonic Calibration CLeaR 2025 Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract) COLT 2025 Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift ICML 2025 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Doubly Robust Proximal Causal Learning for Continuous Treatments ICLR 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023 Correcting for selection bias and missing response in regression using privileged information UAI 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 DRCFS: Doubly Robust Causal Feature Selection ICML 2023 Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits NeurIPS 2023 Multiple Robust Learning for Recommendation AAAI 2023 Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 Falsification before Extrapolation in Causal Effect Estimation NeurIPS 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022