On the Adversarial Robustness of Causal Algorithmic Recourse

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf. On the Adversarial Robustness of Causal Algorithmic Recourse. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 5324-5342, PMLR, 2022. [doi]

@inproceedings{Dominguez-Olmedo22,
  title = {On the Adversarial Robustness of Causal Algorithmic Recourse},
  author = {Ricardo Dominguez-Olmedo and Amir-Hossein Karimi and Bernhard Schölkopf},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/dominguez-olmedo22a.html},
  researchr = {https://researchr.org/publication/Dominguez-Olmedo22},
  cites = {0},
  citedby = {0},
  pages = {5324-5342},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}