arXiv Machine Learning
Aug 13

A Variational Analysis of Kernel Learning with Learnable Linear Transformations

arXiv:2502. 11665v3 Announce Type: replace-cross Abstract: The classical kernel ridge regression problem aims to find the best fit for the output $Y$ as a function of the input data $X\in \mathbb{R}^d$, with a fixed choice of regularization term imposed by a given choice of a reproducing kernel Hilbert space, such as a Sobolev space.

By Yang Li, Feng Ruan
arXiv Machine Learning
2d ago

Learn-Then-Differentiate Gradient Estimation

arXiv:2609.38842v1 Announce Type: cross Abstract: Learn-then-differentiate (LTD) estimates gradients by fitting a model to simulation outputs and differentiating it. We develop a unified framework ex...

By Nifei Lin, Qingkai Zhang, L. Jeff Hong