Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...
Abstract: Compared to the traditional machine learning models, deep neural networks (DNN) are known to be highly sensitive to the choice of hyperparameters. While the required time and effort for ...
Hydro is a system that automatically applies the hyperparameter transfer theory together with multiple system techniques to jointly improve the tuning efficiency. To learn more about how Hydro works, ...
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