arXiv · 2312.09194
Dyson Equation for Correlated Linearizations and Test Error of Random Features Regression
Abstract
This paper develops some theory of the Dyson equation for correlated linearizations and uses it to solve a problem on asymptotic deterministic equivalent for the test error in random features regression. The theory developed for the correlated Dyson equation includes existence-uniqueness, spectral support bounds, and stability properties. This theory is new for constructing deterministic equivalents for pseudo-resolvents of a class of linearizations with correlated entries. In the application, this theory is used to give a deterministic equivalent of the test error in random features ridge regression, in a proportional scaling regime, wherein we have conditioned on both training and test datasets.
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Hugo Latourelle-Vigeant, Elliot Paquette. 2023-12-14. Dyson Equation for Correlated Linearizations and Test Error of Random Features Regression. https://arxiv.org/abs/2312.09194
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