IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data

Guo et al. "IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/625

[Guo et al. "IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/guo2020ijcai-ignite/) doi:10.24963/IJCAI.2020/625

@inproceedings{guo2020ijcai-ignite,
  title     = {{IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data}},
  author    = {Guo, Ruocheng and Li, Jundong and Li, Yichuan and Candan, K. Selçuk and Raglin, Adrienne and Liu, Huan},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {4534-4540},
  doi       = {10.24963/IJCAI.2020/625},
  url       = {https://mlanthology.org/ijcai/2020/guo2020ijcai-ignite/}
}