arXiv stat.ML
· Papers
Scalable Operator Learning via Nystr"om Approximation With Denoising Applications
arXiv:2606.26652v1 Announce Type: cross Abstract: In this paper, we study Nystr"om subsampling for vector-valued regression in vector-valued reproducing kernel Hilbert spaces. Standard kernel methods often suffer from prohibitive computational costs due to the construction and inversion of large kernel matrices, which