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New Paper Introduces Generalized Hyperrectangular Prediction Sets for Multivariate Conformal Prediction

This story is from 2026-11-06. It is preserved in the archive; the latest stories are on the live feed.

A new arXiv paper proposes generalized hyperrectangular prediction sets in multivariate conformal prediction, addressing the complex geometry of sets produced by many nonconformity scores, such as ellipsoids or density level sets.

Read the full story at arXiv stat.ML ↗

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  1. 2026-11-06 05:00 · arXiv stat.ML
    Generalized Hyperrectangular Prediction Sets in Multivariate Conformal Prediction

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