Bayesian Optimization Using Monotonicity Information and Its Application in Machine Learning Hyperparameter

10 Feb 2018Wenyi WangWilliam J. Welch

We propose an algorithm for a family of optimization problems where the objective can be decomposed as a sum of functions with monotonicity properties. The motivating problem is optimization of hyperparameters of machine learning algorithms, where we argue that the objective, validation error, can be decomposed as monotonic functions of the hyperparameters... (read more)

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