DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

1 code implementation • 19 Jul 2022 • Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen

Our method jointly learns the treatment and response functions in the entire sample space to avoid treatment bias and employs an intermediate pseudo treatment effect prediction network to relieve sample imbalance.

Causal Inference Multi-Task Learning