2 papers
stat.ML2026
Fairness in multi-class multi-group classification problems via contextial coherent risk measures
Darinka Dentcheva, Xiangyu Tian
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…
stat.ML2025
Risk-averse Fair Multi-class Classification
Darinka Dentcheva, Xiangyu Tian
We develop a new classification framework based on the theory of coherent risk measures and systemic risk. The proposed approach is suitable for multi-class problems when the data…