Causal Inference | Observational Studies An encoding generative modeling approach to dimension reduction and covariate adjustment in causal inference with observational studies. May 29, 2024
Causal Inference | Healthcare | Machine Learning Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation. March 20, 2023
Causal Inference | Clinical Observational Data Analysis Disentangled representation for sequential treatment effect estimation. October 15, 2022
Causal Inference | Data Science Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models. July 19, 2022
Causal Inference | Medicine Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records. June 23, 2022