Haoyuan's Homepage
Haoyuan's Homepage
Home
Research
Publications
Light
Dark
Automatic
Publications
Type
Preprint
Journal article
Conference paper
Date
2025
2024
2023
2022
Wenyuan Zhao
,
Haoyuan Chen
,
Tie Liu
,
Rui Tuo
,
Chao Tian
(2025).
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
. International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.
PDF
Cite
Code
Haoyuan Chen
,
Rui Tuo
(2024).
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
. Under revision for IISE Transactions.
PDF
Cite
Haoyuan Chen
,
Rui Tuo
(2024).
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
. Under revision for SIAM/ASA Journal on Uncertainty Quantification (JUQ).
PDF
Cite
Haoyuan Chen
,
Emil Constantinescu
,
Vishwas Rao
,
Cristiana Stan
(2023).
Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
. Under revision for Journal of Advances in Modeling Earth Systems (JAMES).
PDF
Code
Dataset
Project
Poster
Haoyuan Chen
,
Liang Ding
,
Rui Tuo
(2022).
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
. Journal of Machine Learning Research (JMLR).
PDF
Cite
Code
Poster
Slides
Cite
×