Author

Fariborz Setoudehtazang

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Preprint Aug 2026

Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models

This work studies a different regime in which the probability of label missingness depends on posterior classification uncertainty, so that the observed missing-label indicators can themselves carry information about the Bayes decision boundary.

Huanchao Zhou, Jinran Wu, Fariborz Setoudehtazang et al. · 0 citations

#machine learning Preprint Aug 2026

Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

A classification-weighted generalized-eigenvalue criterion is developed under which informative partial classification may have smaller asymptotic classification risk without globally dominating complete classification in Fisher information.

Fariborz Setoudehtazang, Geoffrey J. McLachlan · 0 citations