Gaussian Processes enable efficient conditioning for batch selection in Bayesian optimization, unifying pseudo-observation methods and outperforming or matching explicit penalization on benchmarks.
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Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
Gaussian Processes enable efficient conditioning for batch selection in Bayesian optimization, unifying pseudo-observation methods and outperforming or matching explicit penalization on benchmarks.