kernel ridge regression

2 papers across 2 sessions

Poster Session 2

1 paper

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Regularized least squares learning with heavy-tailed noise is minimax optimal

#3012 Spotlight · Mattes Mollenhauer, Nicole Muecke, Dimitri Meunier, Arthur Gretton

Poster Session 3

1 paper

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning

#3201 · Dechen Zhang, Zhenmei Shi, Zhang, Yingyu Liang, Difan Zou

We provide a refined analysis on the excess risk of kernel ridge regression in structured non-i.i.d. setting and apply it to denoising score learning.