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

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 6 cited

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…