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20232026
most citedA Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

1 citations · 1 across the 7 of their papers we have counts for

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cs.LG2024

A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios +1

This paper conducts a comprehensive study of the learning curves of kernel ridge regression (KRR) under minimal assumptions. Our contributions are three-fold: 1) we analyze the rol…

cs.LG2024

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios +1

We derive new bounds for the condition number of kernel matrices, which we then use to enhance existing non-asymptotic test error bounds for kernel ridgeless regression (KRR) in th…