Random axis-aligned subspaces let a simple expected-improvement rule generate large parallel batches without extra hyperparameters, and the method wins on most CEC2017 benchmarks.
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Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions
Random axis-aligned subspaces let a simple expected-improvement rule generate large parallel batches without extra hyperparameters, and the method wins on most CEC2017 benchmarks.