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Co-authors

Rui TuoTexas A&M UniversityVerified email at tamu.edu
Liang DingFudan UniversityVerified email at fudan.edu.cn
Chao TianElectrical and Computer Engineering Department, Texas A&M UniversityVerified email at tamu.edu
Tie LiuTexas A&M UniversityVerified email at tamu.edu

Haoyuan Chen

Haoyuan Chen

Texas A&M University

Verified email at tamu.edu - Homepage

Uncertainty Quantification Probabilistic Machine Learning


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Kernel packet: An exact and scalable algorithm for Gaussian process regression with Matérn correlations H Chen, L Ding, R Tuo Journal of machine learning research 23 (127), 1-32, 2022	12	2022
A Scalable and Exact Gaussian Process Sampler via Kernel Packets H Chen, R Tuo	2	2022
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation W Zhao, H Chen, T Liu, R Tuo, C Tian arXiv preprint arXiv:2502.10540, 2025		2025
Aggregation Models with Optimal Weights for Distributed Gaussian Processes H Chen, R Tuo arXiv preprint arXiv:2408.00955, 2024		2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner H Chen, R Tuo arXiv preprint arXiv:2408.00206, 2024		2024

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