Reference
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets, Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter. Artificial Intelligence and Statistics(2017)

Abstract

Bayesian optimization has become a successful tool for hyperparameter optimization of machine learning algorithms, such as support vector machines or deep neural networks. Despite its success, for ...

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Seminar

Extrapolating hyperparameters across dataset size with Bayesian optimisation

In this talk, Álvaro introduces us to FABOLAS, a Bayesian optimization procedure for hyperparameter tuning “which models loss and training …

Álvaro Tejero-Cantero
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