3 papers
math.ST2026
A Theory of Feature Learning in Kernel Models
Yunlu Chen, Yang Li, Keli Liu +1
We study feature learning in a compositional variant of kernel ridge regression in which the predictor is applied to a learnable linear transformation of the input. When the respon…
math.OC2025
Gradient flow in the kernel learning problem
Yang Li, Feng Ruan
This is a sequel to our paper `On the kernel learning problem'. We identify a canonical choice of Riemannian gradient flow, to find the stationary points in the kernel learning pro…
stat.ML2025
A Variational Analysis of Kernel Learning with Learnable Linear Transformations
Yang Li, Feng Ruan
The classical kernel ridge regression problem aims to find the best fit for the output as a function of the input data , with a fixed choice of regularizatio…