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cs.LG2026
Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
Jannis Lübsen, Annika Eichler
This paper extends safety guarantees for multi-task Bayesian optimization with uncertain co-regionalization matrices from intrinsic co-regionalization models to linear models of co…
cs.LG2025
An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
Jannis O. Luebsen, Annika Eichler
This paper addresses the integration of additional information sources into a Bayesian optimization framework while ensuring that safety constraints are satisfied. The interdepende…
cs.LG2024
Towards Safe Multi-Task Bayesian Optimization
Jannis O. Lübsen, Christian Hespe, Annika Eichler
Bayesian optimization has emerged as a highly effective tool for the safe online optimization of systems, due to its high sample efficiency and noise robustness. To further enhance…