Tong Zhang
JMLR
Gaussian processes have been widely applied to regression problems with good performance. However, they can be computationally expensive. In order to reduce the computational cost, there have been recent studies on using sparse approximations in gaussian processes. In this article, we investigate properties of certain sparse regression algorithms that approximately solve a gaussian process. We obtain approximation bounds and compare our results with related methods.
Tong Zhang
JMLR
Hongyan Jing, Radu Florian, et al.
EMNLP 2003
Rie Kubota Ando, Tong Zhang
NeurIPS 2006
Tong Zhang
COLT 2004