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This manuscript considers the problem of learning a random Gaussian network function using a fully connected network with frozen intermediate layers and trainable readout layer.
The generalised product moment distribution in samples from a normal multivariate population
John Wishart · 1928
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Distribution of eigenvalues for some sets of random matrices
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The Generalization Error of Random Features Regression: Precise Asymptotics and the Double Descent Curve
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Universality Laws for High-Dimensional Learning with Random Features
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Theodor Misiakiewicz · 2022
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Sharp asymptotics of kernel ridge regression beyond the linear regime
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Surprises in high-dimensional ridgeless least squares interpolation
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Optimal learning of deep random networks of extensive-width, 2023
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