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1
Multiaccurate Proxies for Downstream Fairness:
, In:
2022 ACM Conference on Fairness, Accountability, and Transparency
,
Diana, Emily
;
Gill, Wesley
;
Kearns, Michael
... - p. 1207-1239 , 2022
Link:
https://dl.acm.org/doi/10.1145/3531146.3533180
RT T1 <cTitle>2022 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Multiaccurate Proxies for Downstream Fairness</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3533180&Exemplar=1&LAN=DE A1 Diana, Emily A1 Gill, Wesley A1 Kearns, Michael A1 Kenthapadi, Krishnaram A1 Roth, Aaron A1 Sharifi-Malvajerdi, Saeed PB ACM YR 2022 K1 algorithmic fairness K1 game theory K1 multiaccuracy K1 proxy variables K1 Computing methodologies K1 Machine learning SP 1207 OP 1239 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3531146.3533180 DO https://dl.acm.org/doi/10.1145/3531146.3533180 SF ELIB - SuUB Bremen
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