Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability

Christopher Frye, Colin Rowat, Ilya Feige. Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{FryeRF20,
  title = {Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability},
  author = {Christopher Frye and Colin Rowat and Ilya Feige},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/0d770c496aa3da6d2c3f2bd19e7b9d6b-Abstract.html},
  researchr = {https://researchr.org/publication/FryeRF20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}