papers
Publications (7)
cs.LG2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels +2
cs.CV2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg, Ãzgün Ãiçek, Silvio Galesso +4
cs.LG2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search
Chris Ying, Aaron Klein, Esteban Real +3
stat.ML2016
Asynchronous Stochastic Gradient MCMC with Elastic Coupling
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner +1
cs.LG2019
Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
Aaron Klein, Frank Hutter
cs.LG2018
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
Arber Zela, Aaron Klein, Stefan Falkner +1
cs.LG2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner, Aaron Klein, Frank Hutter