Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials

no code implementations • 10 Mar 2022 • Zhixuan Chu, Stephen L. Rathbun, Sheng Li

In our paper, the basket trial is employed as an intuitive example to present this new causal inference setting.

Causal Inference counterfactual +3

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data

no code implementations • 5 Jun 2021 • Zhixuan Chu, Stephen L. Rathbun, Sheng Li

The foremost challenge in treatment effect estimation is how to capture hidden confounders.

Causal Inference Graph Learning +1

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation

no code implementations • 15 Sep 2020 • Zhixuan Chu, Stephen L. Rathbun, Sheng Li

The dramatically growing availability of observational data is being witnessed in various domains of science and technology, which facilitates the study of causal inference.

Causal Inference counterfactual +3