2 papers
cs.LG2024
Sample-efficient Bayesian Optimisation Using Known Invariances
Theodore Brown, Alexandru Cioba, Ilija Bogunovic
Bayesian optimisation (BO) is a powerful framework for global optimisation of costly functions, using predictions from Gaussian process models (GPs). In this work, we apply BO to f…
physics.plasm-ph2024
Multi-objective Bayesian optimization for design of Pareto-optimal current drive profiles in STEP
Theodore Brown, Stephen Marsden, Vignesh Gopakumar +3
The safety factor profile is a key property in determining the stability of tokamak plasmas. To design the safety factor profile in the United Kingdom's proposed Spherical Tokamak…