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Squirrel: A Switching Hyperparameter Optimizer
In this short note, we describe our submission to the NeurIPS 2020 BBO c...
12/15/2020 ∙ by Noor Awad, et al. ∙
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Auto-Sklearn 2.0: The Next Generation
Automated Machine Learning, which supports practitioners and researchers...
07/08/2020 ∙ by Matthias Feurer, et al. ∙
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OpenML-Python: an extensible Python API for OpenML
OpenML is an online platform for open science collaboration in machine l...
11/06/2019 ∙ by Matthias Feurer, et al. ∙
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Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters
Bayesian Optimization (BO) is a common approach for hyperparameter optim...
08/19/2019 ∙ by Marius Lindauer, et al. ∙
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BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters
Hyperparameter optimization and neural architecture search can become pr...
08/16/2019 ∙ by Marius Lindauer, et al. ∙
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Scalable Meta-Learning for Bayesian Optimization
Bayesian optimization has become a standard technique for hyperparameter...
02/06/2018 ∙ by Matthias Feurer, et al. ∙
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OpenML Benchmarking Suites and the OpenML100
We advocate the use of curated, comprehensive benchmark suites of machin...
08/11/2017 ∙ by Bernd Bischl, et al. ∙
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