confounding variable

Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation CLeaR 2025 Do Mentioned Items Truly Matter? Enhancing Conversational Recommender Systems with Causal Intervention and Large Language Models IJCAI 2025 Identifying Confounding from Causal Mechanism Shifts AISTATS 2024 Robust Learning via Conditional Prevalence Adjustment WACV 2024 Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NeurIPS 2023 To Impute or not to Impute? Missing Data in Treatment Effect Estimation AISTATS 2023 Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021 Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling MLHC 2020 Spectral Deconfounding via Perturbed Sparse Linear Models JMLR 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 Adversarial Training for Satire Detection: Controlling for Confounding Variables NAACL 2019 Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019 Policy Evaluation with Latent Confounders via Optimal Balance NeurIPS 2019 Finding significant combinations of features in the presence of categorical covariates NeurIPS 2016 Causal Inference through a Witness Protection Program NeurIPS 2014