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Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off

arXiv:2609.29622v1 Announce Type: new Abstract: Worst-case Optimal Recovery (OR) and Bayesian learning describe the same Gaussian-quadratic-Hilbert problems in two vocabularies. We sharpen the correspondence - the radius of information equals a nugget-optimized GP posterior variance and is attained…

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  1. 2026-09-25 04:00 · arXiv stat.ML
    Optimal Recovery Meets Bayesian Learning: Where Worst-Case Bounds Pay Off

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