25 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Estimating treatment effects from observational data provides insights about causality guiding many real-world applications such as different clinical study designs, which are the…
stat.ML2022
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data
Zhixuan Chu, Stephen Rathbun, Sheng Li
The foremost challenge to causal inference with real-world data is to handle the imbalance in the covariates with respect to different treatment options, caused by treatment select…
cs.LG2021★ 25 cited
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Treatment effect estimation from observational data is a critical research topic across many domains. The foremost challenge in treatment effect estimation is how to capture hidden…