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

Yonghe Zhao, Qiang Huang, Haolong Zeng +2

Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are already some sample reweighting…