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News/Fairness in multi-class multi-group classification problems via contextial coherent risk measures
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Fairness in multi-class multi-group classification problems via contextial coherent risk measures

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arXiv:2608.30223v1 Announce Type: cross Abstract: We propose a new design of fair classifiers for multi-class classification problems in the presence of vector-valued sensitive attributes. In that scenario each sensitive attribute has multiple values and forms several groups relevant to the fairness

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