4 citations · 4 across the 4 of their papers we have counts for
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cs.LG2023
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…
physics.acc-ph2023★ 4 cited
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…