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

Richard Cornelius Suwandi, Zhidi Lin, Feng Yin +2

Gaussian processes (GPs) stand as crucial tools in machine learning and signal processing, with their effectiveness hinging on kernel design and hyper-parameter optimization. This…