confounding adjustment

Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024 DoubleLingo: Causal Estimation with Large Language Models NAACL 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024 Causal Estimation for Text Data with (Apparent) Overlap Violations ICLR 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023 COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective ACL 2023 Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023 Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Adapting Text Embeddings for Causal Inference UAI 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012