Picture for Rui Tuo

Rui Tuo

Aggregation Models with Optimal Weights for Distributed Gaussian Processes

Add code
Aug 01, 2024
Viaarxiv icon

Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner

Add code
Aug 01, 2024
Viaarxiv icon

A General Theory for Kernel Packets: from state space model to compactly supported basis

Add code
Feb 08, 2024
Viaarxiv icon

Privacy-aware Gaussian Process Regression

Add code
May 25, 2023
Viaarxiv icon

Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction

Add code
Nov 14, 2022
Viaarxiv icon

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations

Add code
Mar 09, 2022
Figure 1 for Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
Figure 2 for Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
Figure 3 for Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
Figure 4 for Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
Viaarxiv icon

A Sparse Expansion For Deep Gaussian Processes

Add code
Dec 11, 2021
Figure 1 for A Sparse Expansion For Deep Gaussian Processes
Figure 2 for A Sparse Expansion For Deep Gaussian Processes
Figure 3 for A Sparse Expansion For Deep Gaussian Processes
Figure 4 for A Sparse Expansion For Deep Gaussian Processes
Viaarxiv icon

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids

Add code
Jul 20, 2021
Figure 1 for High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Figure 2 for High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Figure 3 for High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Figure 4 for High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Viaarxiv icon

The temporal overfitting problem with applications in wind power curve modeling

Add code
Dec 02, 2020
Figure 1 for The temporal overfitting problem with applications in wind power curve modeling
Figure 2 for The temporal overfitting problem with applications in wind power curve modeling
Figure 3 for The temporal overfitting problem with applications in wind power curve modeling
Figure 4 for The temporal overfitting problem with applications in wind power curve modeling
Viaarxiv icon

Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs

Add code
Jun 05, 2020
Figure 1 for Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs
Viaarxiv icon