Optimal Designs of Gaussian Processes with Budgets for Hyperparameter Optimization

1 Jan 2021 Anonymous

The remarkable performance of modern deep learning methods depends critically on the optimization of their hyperparameters. One major challenge is that evaluating a single hyperparameter configuration on large datasets could nowadays easily exceed hours or days... (read more)

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Methods used in the Paper


METHOD TYPE
Random Search
Hyperparameter Search
Gaussian Process
Non-Parametric Classification