Sum-of-Squares & Gaussian Processes I: Certification

Juspreet Singh Sandhu; Jonathan Shi

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arXiv · 2401.14383

Sum-of-Squares & Gaussian Processes I: Certification

Juspreet Singh Sandhu·Jonathan Shi

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Abstract

We introduce a class of distributions which may be considered as a smoothed probabilistic version of the ultrametric property that famously characterizes the Gibbs distributions of various spin glass models. This class of \emph{high-entropy step} (HES) distributions is expressive enough to capture a distribution achieving near-optimal average energy on spin glass models in the so-called full Replica-Symmetry Breaking (fRSB) regime. Simultaneously, with high probability, there are polynomial-size certificates on the average energy achievable by \emph{any} HES distribution which are tight within a constant factor. These certificates can be found in polynomial time by a semidefinite program corresponding to a sum-of-squares (SoS) hierarchy we introduce, termed the HES SoS hierarchy. This improves over classical sum-of-squares certificates which are loose by a factor of $n^{\lfloor p/2 - 1\rfloor/2}$.

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Juspreet Singh Sandhu, Jonathan Shi. 2024-01-25. Sum-of-Squares & Gaussian Processes I: Certification. https://arxiv.org/abs/2401.14383

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