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DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
Modern machine learning algorithms crucially rely on several design deci...
05/20/2021 ∙ by Noor Awad, et al. ∙
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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. ∙
26
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Differential Evolution for Neural Architecture Search
Neural architecture search (NAS) methods rely on a search strategy for d...
12/11/2020 ∙ by Noor Awad, et al. ∙
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Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
Current Deep Reinforcement Learning algorithms still heavily rely on han...
10/28/2019 ∙ by Jörg K. H. Franke, et al. ∙
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