Learning to learn with Gaussian processes

Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

Abstract: This paper presents Gaussian process meta-learning (GPML) for few-shot regression, which explicitly exploits the distance between regression problems/tasks using a novel task kernel. It contrasts s...