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Murray Height

2 accepted papers

2020

Accelerated Bayesian Optimisation through Weight-Prior Tuning

AISTATS 2020poster

Bayesian optimization (BO) is a widely-used method for optimizing expensive (to evaluate) problems. At the core of most BO methods is the modeling of the objective function using a Gaussian Process (GP) whose covariance is selected from a set of standard covariance functions. From a weight-space v…

2017

Process-constrained batch Bayesian optimisation

NeurIPS 2017spotlight

Abstract Prevailing batch Bayesian optimisation methods allow all control variables to be freely altered at each iteration. Real-world experiments, however, often have physical limitations making it time-consuming to alter all settings for each recommendation in a batch. This gives rise to a unique…

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