88 citations · 333 across the 26 of their papers we have counts for
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cs.LG2025
A Compositional Kernel Model for Feature Learning
Feng Ruan, Keli Liu, Michael Jordan
We study a compositional variant of kernel ridge regression in which the predictor is applied to a coordinate-wise reweighting of the inputs. Formulated as a variational problem, t…
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…