Priority-based Post-Processing Bias Mitigation for Individual and Group Fairness

Previous post-processing bias mitigation algorithms on both group and individual fairness don't work on regression models and datasets with multi-class numerical labels. We propose a priority-based post-processing bias mitigation on both group and individual fairness with the notion that simila...

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Bibliographic Details
Published inarXiv.org
Main Author Lohia, Pranay
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 31.01.2021
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