Symbolic Explanations for Hyperparameter Optimization

Authors:  Sarah Segel, Helena Graf, Alexander Tornede, Bernd Bischl, and Marius Lindauer TL;DR We propose to apply symbolic regression in a hyperparameter optimization setting to obtain explicit formulas providing simple and interpretable explanations of the effects of hyperparameters on the model performance. HPO is great, but… In the field of machine learning, hyperparameter optimization (HPO) […]

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