De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network

no code implementations • 24 Jul 2023 • Yonghe Zhao, Qiang Huang, Haolong Zeng, Yun Pen, Huiyan Sun

Extensive experiments on synthetic datasets show that the DRL model performs superiorly in learning de-confounding representations and outperforms state-of-the-art counterfactual inference models for continuous treatment variables.

counterfactual Counterfactual Inference +2