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Rui Tuo

Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner

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Aug 01, 2024
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Aggregation Models with Optimal Weights for Distributed Gaussian Processes

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Aug 01, 2024
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A General Theory for Kernel Packets: from state space model to compactly supported basis

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Feb 08, 2024
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Privacy-aware Gaussian Process Regression

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May 25, 2023
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Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction

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Nov 14, 2022
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Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations

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Mar 09, 2022
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A Sparse Expansion For Deep Gaussian Processes

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Dec 11, 2021
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High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids

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Jul 20, 2021
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The temporal overfitting problem with applications in wind power curve modeling

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Dec 02, 2020
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Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs

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Jun 05, 2020
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