Publications

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Published in -, 2024

This paper is about overfitting in kernel method.

Recommended citation: Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, and David Belius. Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum. arXiv preprint:2402.01297 , 2024. http://tscheng516.github.io/personal_page/files/paper_characterizing2024.pdf

A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

Published in Neurips, 2023

This paper is about the non-asymptotic approximation of test error in kernel method.

Recommended citation: Tin Sum Cheng, Aurelien Lucchi, Ivan Dokmanic, Anastasis Kratsios, and David Belius. A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression. Advances in Neural Information Processing Systems, 36, 2023. http://tscheng516.github.io/personal_page/files/paper_neurips2023.pdf