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Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
We compute precise asymptotic expressions for the learning curves of least squares random feature (RF) models with either a separable strongly convex regularization or the $\ell_1$ regularization.
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