Article-Journal

Privacy-aware Gaussian Process Regression
We propose a novel theoretical and methodological framework for Gaussian process regression subject to privacy constraints. The …
PDF Cite Code
Privacy-aware Gaussian Process Regression
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
GP models have received increasingly attentions in recent years due to their super prediction accuracy and modeling flexibility. To …
PDF Cite Code
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
The Madden–Julian Oscillation (MJO) is an influential climate phenomenon that plays a vital role in modulating global weather …
PDF Cite Code Dataset Project
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
We develop an exact and scalable algorithm for one-dimensional Gaussian process regression with Matérn correlations whose smoothness …
PDF Cite Code Poster Slides
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations