ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference

Cite

Text

Zheng et al. "ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70344-7_16

Markdown

[Zheng et al. "ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/zheng2024ecmlpkdd-adr/) doi:10.1007/978-3-031-70344-7_16

BibTeX

@inproceedings{zheng2024ecmlpkdd-adr,
  title     = {{ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference}},
  author    = {Zheng, Xiangyu and Tian, Guogang and Wang, Sen and Huang, Zhixiang},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {268-284},
  doi       = {10.1007/978-3-031-70344-7_16},
  url       = {https://mlanthology.org/ecmlpkdd/2024/zheng2024ecmlpkdd-adr/}
}