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A parameter that is not strictly for the statistical model (or data generating process), but a parameter for the statistical method. It could be a parameter for: a family of prior distributions, smoothing, a penalty in regularization methods, or an optimization algorithm.
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Practical hyperparameter optimization: Random vs. grid search
I'm currently going through Bengio's and Bergstra's Random Search for Hyper-Parameter Optimization [1] where the authors claim random search is more efficient than grid search in achieving approximate …