SemiITE: Semi-Supervised Individual Treatment Effect Estimation via Disagreement-Based Co-Training

Huang et al. "SemiITE: Semi-Supervised Individual Treatment Effect Estimation via Disagreement-Based Co-Training." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26412-2_25

[Huang et al. "SemiITE: Semi-Supervised Individual Treatment Effect Estimation via Disagreement-Based Co-Training." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/huang2022ecmlpkdd-semiite/) doi:10.1007/978-3-031-26412-2_25

@inproceedings{huang2022ecmlpkdd-semiite,
  title     = {{SemiITE: Semi-Supervised Individual Treatment Effect Estimation via Disagreement-Based Co-Training}},
  author    = {Huang, Qiang and Ma, Jing and Li, Jundong and Sun, Huiyan and Chang, Yi},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {400-417},
  doi       = {10.1007/978-3-031-26412-2_25},
  url       = {https://mlanthology.org/ecmlpkdd/2022/huang2022ecmlpkdd-semiite/}
}