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cs.LG2026
Adapting Nonstationary Multi-output Gaussian Processes to Bayesian Optimization
Zikai Xie
Multi-objective Bayesian optimization (MOBO) commonly relies on independent Gaussian processes (GPs) with stationary kernels, limiting its ability to represent nonstationary struct…
cs.LG2025
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
Zikai Xie, Linjiang Chen
Bayesian Optimization (BO) is a powerful tool for black-box optimization, but its application to high-dimensional permutation spaces is severely limited by the challenge of definin…