most citedScalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

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cs.LG2019★ 2 cited

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

Tong Teng, Jie Chen, Yehong Zhang +1

This paper presents a variational Bayesian kernel selection (VBKS) algorithm for sparse Gaussian process regression (SGPR) models. In contrast to existing GP kernel selection algor…