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stat.ME2025
Bayesian Bridge Gaussian Process Regression
Minshen Xu, Shiwei Lan, Lulu Kang
The performance of Gaussian Process (GP) regression is often hampered by the curse of dimensionality, which inflates computational cost and reduces predictive power in high-dimensi…
stat.AP2025
Robust Analysis for Resilient AI System
Yu Wang, Ran Jin, Lulu Kang
Operational hazards in Manufacturing Industrial Internet (MII) systems generate severe data outliers that cripple traditional statistical analysis. This paper proposes a novel robu…
cs.LG2025
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input
Lulu Kang, Minshen Xu
Gaussian process (GP) regression is a popular surrogate modeling tool for computer simulations in engineering and scientific domains. However, it often struggles with high computat…