AI RESEARCH
NUBO: A Transparent Python Package for Bayesian Optimization
arXiv CS.LG
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ArXi:2305.06709v4 Announce Type: replace NUBO, short for Newcastle University Bayesian Optimisation, is a Bayesian optimization framework for the optimization of expensive-to-evaluate black-box functions, such as physical experiments and computer simulators. Bayesian optimization is a costefficient optimization strategy that uses surrogate modelling via Gaussian processes to represent an objective function and acquisition functions to guide the selection of candidate points to approximate the global optimum of the objective function.