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Amanda Bower · Study

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Amanda Bower

3 works· latest 2022· 2 institutionscluster: provisionalORCID 0000-0002-4497-3088

h-index3

i103

Citations125

Works here3

19

22

Most cited in this library

Training individually fair ML models with Sensitive Subspace Robustness2019 · 57 citations
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics2022 · 38 citations
De-biasing “bias” measurement2022 · 30 citations

Works

3 shown

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics

Patterns·2022·8 authors·Open access

38citations

De-biasing “bias” measurement

ACM Conference on Fairness, Accountability, and Transparency (FAccT)·2022·2 authors·other·Open access

30citations

Training individually fair ML models with Sensitive Subspace Robustness

arXiv (Cornell University)·2019·3 authors·preprint·Open access

57citations