Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models

Alexander Lin, Amil Merchant, Suproteem K. Sarkar, Alexander D'Amour. Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models. In Thuc Duy Le, Jiuyong Li, Kun Zhang 0001, Emre Kiciman, Peng Cui 0001, Aapo Hyvärinen, editors, Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019. Volume 104 of Proceedings of Machine Learning Research, pages 50-58, PMLR, 2019. [doi]

@inproceedings{LinMSD19,
  title = {Universal Causal Evaluation Engine: An API for empirically evaluating causal inference models},
  author = {Alexander Lin and Amil Merchant and Suproteem K. Sarkar and Alexander D'Amour},
  year = {2019},
  url = {http://proceedings.mlr.press/v104/lin19a.html},
  researchr = {https://researchr.org/publication/LinMSD19},
  cites = {0},
  citedby = {0},
  pages = {50-58},
  booktitle = {Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019},
  editor = {Thuc Duy Le and Jiuyong Li and Kun Zhang 0001 and Emre Kiciman and Peng Cui 0001 and Aapo Hyvärinen},
  volume = {104},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}