unobserved confounding

Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV CLeaR 2026 Cost-Aware Optimized Front-Door Experimental Design CLeaR 2026 Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments UAI 2026 Proximal Identification and Estimation in Front-Door Causal Structures with Unobserved Confounding of the Mediator UAI 2026 Confounding-Robust Deferral Policy Learning AAAI 2025 Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding JMLR 2025 Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding CLeaR 2025 Substitute Adjustment via Recovery of Latent Variables JMLR 2025 $ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows PGM 2024 A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 Auditing Fairness under Unobserved Confounding AISTATS 2024 Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework ICLR 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024 Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding NeurIPS 2024 Causal Inference Despite Limited Global Confounding via Mixture Models CLeaR 2023 Counterfactual Identifiability of Bijective Causal Models ICML 2023 Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLeaR 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis NeurIPS 2023 Ancestral Instrument Method for Causal Inference without Complete Knowledge IJCAI 2022 Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022 Exploiting Independent Instruments: Identification and Distribution Generalization ICML 2022 Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses ICML 2022 Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation NeurIPS 2021