LiFT: A Scalable Framework for Measuring Fairness in ML Applications.

Sriram Vasudevan|Krishnaram Kenthapadi


Anthology ID:DBLP:conf/cikm/VasudevanK20
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:2773-2780
URL:https://doi.org/10.1145/3340531.3412705
DOI:https://doi.org/10.1145/3340531.3412705
DBLP:conf/cikm/VasudevanK20
BibTeX:
@inproceedings{vasudevan-2020-lift, author = {Sriram Vasudevan and Krishnaram Kenthapadi}, editor = {Mathieu d'Aquin and Stefan Dietze and Claudia Hauff and Edward Curry and Philippe Cudr\'{e}-Mauroux}, title = {{LiFT: A Scalable Framework for Measuring Fairness in ML Applications}}, booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}}, pages = {2773--2780}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3340531.3412705}, doi = {https://doi.org/10.1145/3340531.3412705} }