Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes.
Shen Yan|Hsien-Te Kao|Emilio Ferrara
| Anthology ID: | DBLP:conf/cikm/YanKF20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1715-1724 |
| URL: | https://doi.org/10.1145/3340531.3411980 |
| DOI: | https://doi.org/10.1145/3340531.3411980 |
| DBLP: | conf/cikm/YanKF20 |
| BibTeX: |
@inproceedings{yan-2020-fair,
author = {Shen Yan and
Hsien-Te Kao and
Emilio Ferrara},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1715--1724},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411980},
doi = {https://doi.org/10.1145/3340531.3411980}
}