Abstract: Working with Machine Learning algorithms and Big Data, one may be tempted to skip the process of hyperparameter tuning, since algorithms generally take longer to train on larger datasets.
Abstract: Bayesian optimization (BO) has recently emerged as a powerful and flexible tool for hyper-parameter tuning and more generally for the efficient global optimization of expensive black box ...
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