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Learning Optimal Fair Scoring Systems for Multi-Class Classification
In this paper, we use Mixed-Integer Linear Programming (MILP) techniques to produce inherently interpretable scoring systems under sparsity and fairness constraints, for the general multi-class classification setup.
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