2 papers
stat.ML2018
Understanding and Comparing Scalable Gaussian Process Regression for Big Data
Haitao Liu, Jianfei Cai, Yew-Soon Ong +1
As a non-parametric Bayesian model which produces informative predictive distribution, Gaussian process (GP) has been widely used in various fields, like regression, classification…
stat.ML2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
Haitao Liu, Jianfei Cai, Yi Wang +1
In order to scale standard Gaussian process (GP) regression to large-scale datasets, aggregation models employ factorized training process and then combine predictions from distrib…