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Stefan Falkner

Scalable Meta-Learning with Gaussian Processes

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Dec 01, 2023
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MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

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Jul 07, 2023
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Auto-Sklearn 2.0: The Next Generation

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Jul 08, 2020
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Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

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Oct 10, 2019
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Learning to Design RNA

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Dec 31, 2018
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Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

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Jul 18, 2018
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BOHB: Robust and Efficient Hyperparameter Optimization at Scale

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Jul 04, 2018
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Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets

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Mar 07, 2017
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Asynchronous Stochastic Gradient MCMC with Elastic Coupling

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Dec 08, 2016
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