An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression

28 Mar 2019Jean FengNoah Simon

In the regression setting, given a set of hyper-parameters, a model-estimation procedure constructs a model from training data. The optimal hyper-parameters that minimize generalization error of the model are usually unknown... (read more)

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