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View article: Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Open
The use of machine learning models in consequential decision making often exacerbates societal inequity, in particular yielding disparate impact on members of marginalized groups defined by race and gender. The area under the ROC curve (AU…
View article: Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Open
The use of machine learning models in consequential decision making often exacerbates societal inequity, in particular yielding disparate impact on members of marginalized groups defined by race and gender. The area under the ROC curve (AU…