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Paul Sanders

1 accepted papers

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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