unmeasured confounding

Canonical Domain Reduction for Partial Counterfactual Identification UAI 2026 Information-Theoretic Causal Bounds under Unmeasured Confounding CLeaR 2026 Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms ICML 2025 Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding AISTATS 2025 Alternative Measures of Direct and Indirect Effects PGM 2024 A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables JMLR 2024 Causal effects of intervening variables in settings with unmeasured confounding JMLR 2024 Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NeurIPS 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NeurIPS 2022 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022 Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021 Full Law Identification in Graphical Models of Missing Data: Completeness Results ICML 2020 Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019 The Sensitivity of Counterfactual Fairness to Unmeasured Confounding UAI 2019