Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling

Shifan Zhao, Jiaying Lu, Ji Yang +2

Gaussian Process Regression (GPR) is widely used in statistics and machine learning for prediction tasks requiring uncertainty measures. Its efficacy depends on the appropriate spe…