Differential Description Length for Hyperparameter Selection in Machine Learning

13 Feb 2019Mojtaba AbolfazliAnders Host-MadsenJune Zhang

This paper introduces a new method for model selection and more generally hyperparameter selection in machine learning. Minimum description length (MDL) is an established method for model selection, which is however not directly aimed at minimizing generalization error, which is often the primary goal in machine learning... (read more)

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