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Liang Ding
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 6
Top Topics
Gaussian Process Regression
Top Venues
CoRR
J. Mach. Learn. Res.
Oper. Res.
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Publications
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Liang Ding
,
Rui Tuo
A General Theory for Kernel Packets: from state space model to compactly supported basis.
CoRR
(2024)
Liang Ding
,
Xiaowei Zhang
Sample and Computationally Efficient Stochastic Kriging in High Dimensions.
Oper. Res.
72 (2) (2024)
Lu Zou
,
Liang Ding
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression.
CoRR
(2024)
Lu Zou
,
Haoyuan Chen
,
Liang Ding
Representing Additive Gaussian Processes by Sparse Matrices.
CoRR
(2023)
Haoyuan Chen
,
Liang Ding
,
Rui Tuo
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations.
CoRR
(2022)
Haoyuan Chen
,
Liang Ding
,
Rui Tuo
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations.
J. Mach. Learn. Res.
23 (2022)