• HEBO: Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
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• Are We Forgetting about Compositional Optimisers in Bayesian Optimisation?
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• Hyperparameter Optimization via Sequential Uniform Designs
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• Bayesian optimization for policy search via online-offline experimentation
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• Model Averaging Is Asymptotically Better Than Model Selection For Prediction
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• MFE: Towards reproducible meta-feature extraction
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• Algorithm selection on a meta level
  Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
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