Article-Journal

Privacy-aware Gaussian Process Regression
We propose a novel theoretical and methodological framework for Gaussian process regression subject to privacy constraints. The …
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Privacy-aware Gaussian Process Regression
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 …
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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 …
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Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations