potential outcome

A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026 Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026 Potential Outcome Rankings for Counterfactual Decision Making AAAI 2026 Retrospective Counterfactual Prediction by Conditioning on the Factual Outcome: A Cross-World Approach CLeaR 2026 Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift CLeaR 2026 Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026 A Causal Framework for Evaluating Deferring Systems AISTATS 2025 Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference AISTATS 2025 Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding CLeaR 2025 Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem AISTATS 2025 Compositional Models for Estimating Causal Effects CLeaR 2025 Conditional Average Treatment Effect Estimation Under Hidden Confounders UAI 2025 Double Machine Learning for Causal Inference under Shared-State Interference ICML 2025 Moments of Causal Effects UAI 2025 Stabilized Neural Prediction of Potential Outcomes in Continuous Time ICLR 2025 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 Limits of Approximating the Median Treatment Effect COLT 2024 Triple Changes Estimator for Targeted Policies ICML 2024 Causal Matrix Completion COLT 2023 Counterfactuals for the Future AAAI 2023 Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance AAAI 2023 Normalizing Flows for Interventional Density Estimation ICML 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions NeurIPS 2023