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Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.01397v1 Announce Type: new Abstract: The Rashomon effect is a machine learning phenomenon where equally accurate models produce different predictions for the same inputs (predictive multiplicity). Existing work primarily focuses on multiplicity within individual models, but in more compl…

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  1. 2026-09-02 04:00 · arXiv stat.ML
    Measuring consistency via ensemble margin and local prediction variability: Auditing decision systems in the presence of predictive multiplicity

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