observational data

Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Detecting hidden confounding in observational data using multiple environments NeurIPS 2023 Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLeaR 2023 FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NeurIPS 2023 Identifying Selection Bias from Observational Data AAAI 2023 Learning Prescriptive ReLU Networks ICML 2023 Learning to Induce Causal Structure ICLR 2023 Learning Treatment Effects from Observational and Experimental Data AISTATS 2023 Optimal Treatment Regimes for Proximal Causal Learning NeurIPS 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Enhancing Counterfactual Classification Performance via Self-Training AAAI 2022 Estimating Social Influence from Observational Data CLeaR 2022 Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022 Falsification before Extrapolation in Causal Effect Estimation NeurIPS 2022 Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects JMLR 2022 Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022 Instrumental Variable Regression with Confounder Balancing ICML 2022 Partial Counterfactual Identification from Observational and Experimental Data ICML 2022 Policy Learning for Optimal Individualized Dose Intervals AISTATS 2022 Robust identifiability in linear structural equation models of causal inference UAI 2022 Typing assumptions improve identification in causal discovery CLeaR 2022 Unit Selection with Causal Diagram AAAI 2022 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 Causal Effects of Linguistic Properties NAACL 2021