Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations

Jie Chen, Nannan Cao, Kian Hsiang Low +3

Gaussian processes (GP) are Bayesian non-parametric models that are widely used for probabilistic regression. Unfortunately, it cannot scale well with large data nor perform real-t…