observational study

Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies CLeaR 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 ROCK: Causal Inference Principles for Reasoning about Commonsense Causality ICML 2022 Validating Causal Inference Methods ICML 2022 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment NeurIPS 2022 Bounding Causal Effects on Continuous Outcome AAAI 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Nested Counterfactual Identification from Arbitrary Surrogate Experiments NeurIPS 2021 Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects EMNLP 2021 Adapting Text Embeddings for Causal Inference UAI 2020 Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference AISTATS 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019 Observational Comparison of Geo-tagged and Randomly-drawn Tweets NAACL 2018 Causal Effect Inference with Deep Latent-Variable Models NeurIPS 2017 Causal Inference through a Witness Protection Program JMLR 2016 Learning Representations for Counterfactual Inference ICML 2016 Causal Inference through a Witness Protection Program NeurIPS 2014 Facilitating Score and Causal Inference Trees for Large Observational Studies JMLR 2012