A Counterfactual Fair Model for Longitudinal Electronic Health Records
via DeconfounderIndustrial Conference on Data Mining (IDM), 2023 |
Estimating Treatment Effects from Irregular Time Series Observations
with Hidden ConfoundersAAAI Conference on Artificial Intelligence (AAAI), 2023 |
Mitigating Health Disparities in EHR via DeconfounderACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2022 |
Estimating Social Influence from Observational DataCLEaR (CLEaR), 2022 |
Deep Causal Reasoning for RecommendationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 |
Sequential Deconfounding for Causal Inference with Unobserved
ConfoundersCLEaR (CLEaR), 2021 |
Naïve regression requires weaker assumptions than factor models to
adjust for multiple cause confoundingJournal of machine learning research (JMLR), 2020 |