77 citations · 584 across the 84 of their papers we have counts for
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stat.ML2015★ 6 cited
Near-Optimal Active Learning of Multi-Output Gaussian Processes
Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low +1
This paper addresses the problem of active learning of a multi-output Gaussian process (MOGP) model representing multiple types of coexisting correlated environmental phenomena. In…
stat.ML2015
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
This paper presents a novel nonmyopic adaptive Gaussian process planning (GPP) framework endowed with a general class of Lipschitz continuous reward functions that can unify some a…