Publications

Rui Tuo, Haoyuan Chen, Raktim Bhattacharya (2025). Privacy-aware Gaussian Process Regression. Technometrics.

Haoyuan Chen, Emil Constantinescu, Vishwas Rao, Cristiana Stan (2025). Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models. Journal of Advances in Modeling Earth Systems (JAMES).

PDF Cite Code Dataset Project Poster

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 Source Document

Haoyuan Chen, Rui Tuo (2024). Aggregation Models with Optimal Weights for Distributed Gaussian Processes. Preprint.

Haoyuan Chen, Rui Tuo (2024). Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner. Preprint.

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