conftrace_

confounding adjustment

12 papers

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Co-occurring keywords

causal inference (1630) observational datum (109) observational study (38) causal effect estimation (69) double machine learning (16) linear non-gaussian model (6) statistical test (47) text datum (19) experimental datum (6) instrumental variable (75)

Papers

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024
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
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
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020
Adapting Text Embeddings for Causal Inference UAI 2020
Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012