Adapting Nonstationary Multi-output Gaussian Processes to Bayesian Optimization.

arXiv:2609.32464v1 Announce Type: cross Abstract: Multi-objective Bayesian optimization (MOBO) commonly relies on independent Gaussian processes (GPs) with stationary kernels, limiting its ability to represent nonstationary structure and share information betw