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Common cross-validation (CV) methods like k-fold cross-validation or Monte-Carlo cross-validation estimate the predictive performance of a learner by repeatedly training it on a large portion of the given data and testing on the remaining data.
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OpenML: Networked science in machine learning
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Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
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Hyperband: A novel bandit-based approach to hyperparameter optimization
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Accelerating neural architecture search using performance prediction
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Towards further automation in automl
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ML-Plan: Automated machine learning via hierarchical planning
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