A Broader impact

Neural Information Processing Systems 

Our work proposes a novel acquisition function for Bayesian optimization. The approach is founda-tional and does not have direct societal or ethical consequences. T able 2: Hyperparameters for the generated GP sample tasks. For the synthetic test functions, 100 sampled optimal pairs are used for each acquisition function. GP hyperparameters are marginalized over for these tasks, so an equal number of optimal pairs are sampled for each hyperparameter set.

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