Unverified50% confidenceOpinionExact time
The concavity constraint on the friendliness score may limit PFR's direct application to certain statistics.
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10/30/2026
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Related Claims
UnverifiedThe paper attributes the inability of prior methods to distinguish different confidence targets to two problems: the reward signals that distinguish different p values are often lost during optimization, and the raw error penalty grows unboundedly as p approaches 1.74% similarUnverifiedMarginal fidelity metrics cannot capture joint distribution deviations among multiple variables, so the paper also uses the constraint satisfaction rate as a supplementary metric.72% similarUnverifiedWhen covariates are imbalanced or skewed, some observations become high-leverage points that exert a disproportionate influence on the regression coefficients, so that even with the same N and p, out-of-sample predictive performance can differ greatly.71% similarUnverifiedCommonly used aggregate metrics (such as overall accuracy and evidence coverage) miss claim-level patterns, and macro-level numbers can become disconnected from actual per-claim changes.70% similarUnverifiedThe paper points out that the analysis relies on moment conditions (p>1 or second moments), which heavy-tailed gradient distributions in deep learning may fail to satisfy.69% similar
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