ICML "kernel ridge regression" Papers

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BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges

Hoyong Choi, Nohyun Ki, Hye Won Chung

ICML 2024posterarXiv:2406.03057

Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum

Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios et al.

ICML 2024posterarXiv:2402.01297

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Yihang Chen, Fanghui Liu, Taiji Suzuki et al.

ICML 2024posterarXiv:2406.03171

Quasi-Monte Carlo Features for Kernel Approximation

ZHEN HUANG, Jiajin Sun, Yian Huang

ICML 2024spotlightarXiv:2503.06041

Smoothness Adaptive Hypothesis Transfer Learning

Haotian Lin, Matthew Reimherr

ICML 2024posterarXiv:2402.14966

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features

Chao Wang, Xin Bing, Xin HE et al.

ICML 2024spotlight