Publications

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.

Haoyuan Chen, Rui Tuo (2024). Aggregation Models with Optimal Weights for Distributed Gaussian Processes. Under revision for IISE Transactions.

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).

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