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#machine learning Preprint Oct 2026

Certifying Retraining Regret through Residual Structure

We certify a fixed ridge predictor's regret against full-feature retraining over every continuous completion of an interval-valued table. Our main theorem gives verifiable original-row residual conditions for a uniform error bound independent of nuisance-feature scale and rank, with an asymptotically sharp leading cons...

Pei Li · 0 citations

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