Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives

6 Feb 2019Tinu Theckel JoySantu RanaSunil GuptaSvetha Venkatesh

In this paper we develop a Bayesian optimization based hyperparameter tuning framework inspired by statistical learning theory for classifiers. We utilize two key facts from PAC learning theory; the generalization bound will be higher for a small subset of data compared to the whole, and the highest accuracy for a small subset of data can be achieved with a simple model... (read more)

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