Empirical Inference
Probabilistic Learning Group
Conference Paper
2021
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Empirical Inference
Probabilistic Learning Group
| 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 |
| Project(s): |
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| BibTeX Type: | Conference Paper (conference) |
| Address: | New York, NY |
| DOI: | 10.1145/3442188.3445899 |
| Event Name: | ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021) |
| Event Place: | Virtual Event |
| State: | Published |
| URL: | https://doi.org/10.1145/3442188.3445899 |
| Electronic Archiving: | grant_archive |
| ISBN: | 978-1-4503-8309-7 |
BibTeX
@conference{KarSchVal20,
title = {Algorithmic Recourse: from Counterfactual Explanations to Interventions},
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},
author = {Karimi, A.-H. and Sch{\"o}lkopf, B. and Valera, I.},
doi = {10.1145/3442188.3445899},
url = {https://doi.org/10.1145/3442188.3445899},
month_numeric = {3}
}