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Luketina et al., 2016 - Google Patents

Scalable gradient-based tuning of continuous regularization hyperparameters

Luketina et al., 2016

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Document ID
5593974070372323563
Author
Luketina J
Berglund M
Greff K
Raiko T
Publication year
Publication venue
International conference on machine learning

External Links

Snippet

Hyperparameter selection generally relies on running multiple full training trials, with selection based on validation set performance. We propose a gradient-based approach for locally adjusting hyperparameters during training of the model. Hyperparameters are …
Continue reading at proceedings.mlr.press (PDF) (other versions)

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