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New arXiv Paper Analyzes Spherical Linear Models and TAP Accuracy

A new paper published on arXiv details advancements in understanding spherical linear models. The research introduces a quantitative TAP approximation and characterizes the posterior geometry under a Marchenko--Pastur spectral-regularity condition. This condition is met by normalized i.i.d. designs with finite fourth moments, without requiring entrywise independence. The findings indicate that the TAP approximation and the spherical free energy differ by a small margin, and both are close to their deterministic equivalents. AI

IMPACT Provides theoretical insights into statistical models relevant to machine learning research.

RANK_REASON The item is a research paper published on arXiv detailing theoretical statistical analysis. [lever_c_demoted from research: ic=1 ai=1.0]

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New arXiv Paper Analyzes Spherical Linear Models and TAP Accuracy

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The item is a research paper published on arXiv detailing theoretical statistical analysis. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Jingbo Liu, Zhiyuan Yu ·

    TAP Accuracy Below the Fluctuation Scale and Universal Posterior Geometry in Spherical Linear Models

    arXiv:2609.20577v1 Announce Type: new Abstract: We study the Bayes-optimal spherical linear model as the ambient dimension and sample size grow proportionally, under a quantitative Marchenko--Pastur spectral-regularity condition on the design. This condition is satisfied by norma…