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20202025
most citedThe Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks

4 citations · 17 across the 14 of their papers we have counts for

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stat.ML2023★ 1 cited

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

Lijia Zhou, James B. Simon, Gal Vardi +1

We study the cost of overfitting in noisy kernel ridge regression (KRR), which we define as the ratio between the test error of the interpolating ridgeless model and the test error…