Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel

1 code implementation • 15 Sep 2023 • Richard Cornelius Suwandi, Zhidi Lin, Feng Yin, Zhiguo Wang, Sergios Theodoridis

This paper presents a novel GP linear multiple kernel (LMK) and a generic sparsity-aware distributed learning framework to optimize the hyper-parameters.

Gaussian Processes