observational study

Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 ClusterSC: Advancing Synthetic Control with Donor Selection AISTATS 2025 Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables EMNLP 2025 Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation service NAACL 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 Auditing Fairness under Unobserved Confounding AISTATS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Detecting critical treatment effect bias in small subgroups UAI 2024 Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024 Estimating the Causal Effect of Early ArXiving on Paper Acceptance CLeaR 2024 Fast Proxy Experiment Design for Causal Effect Identification NeurIPS 2024 Prediction-powered Generalization of Causal Inferences ICML 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024 Treatment Effects Estimation By Uniform Transformer ICLR 2024 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 Estimating Causal Effects Identifiable from a Combination of Observations and Experiments NeurIPS 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023 Generalizing Clinical Trials with Convex Hulls CLeaR 2023 Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NeurIPS 2022 Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022