Aaron Klein
Aaron Klein
AWS Research Berlin
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Efficient and robust automated machine learning
M Feurer, A Klein, K Eggensperger, J Springenberg, M Blum, F Hutter
Advances in neural information processing systems 28, 2015
BOHB: Robust and efficient hyperparameter optimization at scale
S Falkner, A Klein, F Hutter
Proceedings of the 35th International Conference on Machine Learning, 2018
Nas-bench-101: Towards reproducible neural architecture search
C Ying, A Klein, E Christiansen, E Real, K Murphy, F Hutter
International conference on machine learning, 7105-7114, 2019
Fast Bayesian optimization of machine learning hyperparameters on large datasets
A Klein, S Falkner, S Bartels, P Hennig, F Hutter
Proceedings of the 20th International Conference on Artificial Intelligence …, 2016
Bayesian optimization with robust Bayesian neural networks
JT Springenberg, A Klein, S Falkner, F Hutter
Advances in neural information processing systems 29, 2016
Towards automatically-tuned neural networks
H Mendoza, A Klein, M Feurer, JT Springenberg, F Hutter
Workshop on automatic machine learning, 58-65, 2016
Learning curve prediction with Bayesian neural networks
A Klein, S Falkner, JT Springenberg, F Hutter
International Conference on Learning Representations (ICLR) 2017, 2016
Towards automated deep learning: Efficient joint neural architecture and hyperparameter search
A Zela, A Klein, S Falkner, F Hutter
arXiv preprint arXiv:1807.06906, 2018
Uncertainty estimates and multi-hypotheses networks for optical flow
E Ilg, O Cicek, S Galesso, A Klein, O Makansi, F Hutter, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 652-667, 2018
Robo: A flexible and robust bayesian optimization framework in python
A Klein, S Falkner, N Mansur, F Hutter
NIPS 2017 Bayesian optimization workshop, 4-9, 2017
Tabular benchmarks for joint architecture and hyperparameter optimization
A Klein, F Hutter
arXiv preprint arXiv:1905.04970, 2019
The Sacred Infrastructure for Computational Research.
K Greff, A Klein, M Chovanec, F Hutter, J Schmidhuber
SciPy 17, 49-56, 2017
HPOBench: A collection of reproducible multi-fidelity benchmark problems for HPO
K Eggensperger, P Müller, N Mallik, M Feurer, R Sass, A Klein, N Awad, ...
arXiv preprint arXiv:2109.06716, 2021
Fast bayesian hyperparameter optimization on large datasets
A Klein, S Falkner, S Bartels, P Hennig, F Hutter
Model-based asynchronous hyperparameter and neural architecture search
A Klein, LC Tiao, T Lienart, C Archambeau, M Seeger
arXiv preprint arXiv:2003.10865, 2020
Meta-surrogate benchmarking for hyperparameter optimization
A Klein, Z Dai, F Hutter, N Lawrence, J Gonzalez
Advances in Neural Information Processing Systems 32, 2019
Automatic Termination for Hyperparameter Optimization
A Makarova, H Shen, V Perrone, A Klein, JB Faddoul, A Krause, ...
First Conference on Automated Machine Learning (Main Track), 2021
Combining hyperband and bayesian optimization
S Falkner, A Klein, F Hutter
NIPS 2017 Bayesian Optimization Workshop (Dec 2017), 2017
Syne tune: A library for large scale hyperparameter tuning and reproducible research
D Salinas, M Seeger, A Klein, V Perrone, M Wistuba, C Archambeau
International Conference on Automated Machine Learning, 16/1-23, 2022
BORE: Bayesian optimization by density-ratio estimation
LC Tiao, A Klein, MW Seeger, EV Bonilla, C Archambeau, F Ramos
International Conference on Machine Learning, 10289-10300, 2021
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