Empirical Inference

Algorithmic Recourse: from Counterfactual Explanations to Interventions

2021

Conference Paper

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Author(s): Karimi, A.-H. and Schölkopf, B. and Valera, I.
Book Title: FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
Pages: 353--362
Year: 2021
Month: March
Editors: Madeleine Clare Elish and William Isaac and Richard S. Zemel
Publisher: ACM

Department(s): Empirical Inference, Probabilistic Learning Group
Research Project(s): Accountability and Recourse
Bibtex Type: Conference Paper (conference)

DOI: 10.1145/3442188.3445899
Event Name: ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021)
Event Place: Virtual Event

Address: New York, NY
ISBN: 978-1-4503-8309-7
State: Published
URL: https://doi.org/10.1145/3442188.3445899

BibTex

@conference{KarSchVal20,
  title = {Algorithmic Recourse: from Counterfactual Explanations to Interventions},
  author = {Karimi, A.-H. and Sch{\"o}lkopf, B. and Valera, I.},
  booktitle = {FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency},
  pages = {353--362},
  editors = {Madeleine Clare Elish and William Isaac and Richard S. Zemel},
  publisher = {ACM},
  address = {New York, NY},
  month = mar,
  year = {2021},
  doi = {10.1145/3442188.3445899},
  url = {https://doi.org/10.1145/3442188.3445899},
  month_numeric = {3}
}