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06/22/2023
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
We study the cost of overfitting in noisy kernel ridge regression (KRR),...
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10/21/2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
We prove a new generalization bound that shows for any class of linear p...
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12/08/2021
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
We study a localized notion of uniform convergence known as an "optimist...
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06/17/2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and Benign Overfitting
We consider interpolation learning in high-dimensional linear regression...
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06/10/2020