Empirische Inferenz Conference Paper 2022

On the Adversarial Robustness of Causal Algorithmic Recourse

Author(s): Dominguez-Olmedo, R. and Karimi, A.-H. and Schölkopf, B.
Book Title: Proceedings of the 39th International Conference on Machine Learning (ICML)
Volume: 162
Pages: 5324--5342
Year: 2022
Month: July
Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Baltimore, Maryland, USA
State: Published
URL: https://proceedings.mlr.press/v162/dominguez-olmedo22a.html
Electronic Archiving: grant_archive

BibTex

@conference{DomKarSch22,
  title = {On the Adversarial Robustness of Causal Algorithmic Recourse},
  booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
  volume = {162},
  pages = {5324--5342},
  editors = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
  publisher = {PMLR},
  month = jul,
  year = {2022},
  slug = {domkarsch22},
  author = {Dominguez-Olmedo, R. and Karimi, A.-H. and Sch{\"o}lkopf, B.},
  url = {https://proceedings.mlr.press/v162/dominguez-olmedo22a.html},
  month_numeric = {7}
}