"kernel ridge regression" Papers
8 papers found
A duality framework for analyzing random feature and two-layer neural networks
Hongrui Chen, Jihao Long, Lei Wu
NeurIPS 2025posterarXiv:2305.05642
2
citations
A Geometrical Analysis of Kernel Ridge Regression and its Applications
Georgios Gavrilopoulos, Guillaume Lecué, Zong Shang
NeurIPS 2025posterarXiv:2404.07709
2
citations
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
Hoyong Choi, Nohyun Ki, Hye Won Chung
ICML 2024poster
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios et al.
ICML 2024poster
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Yihang Chen, Fanghui Liu, Taiji Suzuki et al.
ICML 2024poster
Quasi-Monte Carlo Features for Kernel Approximation
ZHEN HUANG, Jiajin Sun, Yian Huang
ICML 2024spotlight
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr
ICML 2024poster
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
Chao Wang, Xin Bing, Xin HE et al.
ICML 2024spotlight