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} }