A post-processing method called Fair-FLDA enforces fairness constraints on functional linear discriminant analysis, with finite-sample guarantees on both disparity and classification error.
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Fairness-aware Bayes optimal functional classification
A post-processing method called Fair-FLDA enforces fairness constraints on functional linear discriminant analysis, with finite-sample guarantees on both disparity and classification error.