Systemic coherent risk measures are used to design multi-class classifiers that are robust to label noise and enforce group fairness through a class-risk deviation penalty.
A general and adaptive robust loss function
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Risk-averse Fair Multi-class Classification
Systemic coherent risk measures are used to design multi-class classifiers that are robust to label noise and enforce group fairness through a class-risk deviation penalty.