4 citations · 4 across the 4 of their papers we have counts for
5 papers
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…
Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
Jannis Lübsen, Annika Eichler
This paper proposes a method for constructing one-step prediction tubes for nonlinear systems using reproducing kernel Hilbert spaces. We approximate a bounded reproducing kernel H…
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…
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…
Bayesian Optimization Algorithms for Accelerator Physics
Ryan Roussel, Auralee L. Edelen, Tobias Boltz +23
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simul…