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#machine learning Preprint Oct 2026

Split Conformal Interval Length under Huber Contamination

Existing analyses of interval length in split conformal prediction largely focus on clean data. However, how contamination at the training and calibration stages alters interval length relative to the corresponding clean population oracle remains understudied. In this paper, we consider Huber contamination and derive a...

Xiao Zhang, Bo-Wen Zhang, Lie He · 0 citations

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