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Data-Driven Methods for Modelling and Optimizing the Empirical Performance of Deep Neural Networks

Publications

Combining Hyperband and Bayesian Optimization

Author(s): Stefan Falkner, Aaron Klein, Frank Hutter
Published in: Proceedings of BayesOpt 2017, 2017

Learning curve predictionwith bayesian neural networks

Author(s): Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter
Published in: proceedings of ICLR, 2017

RoBO: A Flexible and Robust Bayesian Optimization Framework in Python

Author(s): Aaron Klein, Stefan Falkner, Numair Mansur, Frank Hutter
Published in: Proceedings of BayesOpt 2017, 2017

The Sacred Infrastructure for Computational Research

Author(s): Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, Jürgen Schmidhuber
Published in: proceedings of the 15th python in science conference, 2017

An Empirical Study of Hyperparameter Importance Across Datasets

Author(s): Jan N. van Rijn, Frank Hutter
Published in: proceedings of AutoML, 2017

The reparameterization trick for acquisition functions

Author(s): James T. Wilson, Riccardo Moriconi, Frank Hutter, Marc Peter Deisenroth
Published in: Proceedings of BayesOpt 2017, 2017

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

Author(s): Falkner, Stefan; Klein, Aaron; Hutter, Frank
Published in: ICML 2018, Issue 5, 2018

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search

Author(s): Zela, Arber; Klein, Aaron; Falkner, Stefan; Hutter, Frank
Published in: AutoML Workshop, Issue 1, 2018

Maximizing acquisition functions for Bayesian optimization

Author(s): Wilson, James T.; Hutter, Frank; Deisenroth, Marc Peter
Published in: NeurIPS 2018, Issue 1, 2018

Hyperparameter Importance Across Datasets

Author(s): Jan N. van Rijn, Frank Hutter
Published in: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining - KDD '18, 2018, Page(s) 2367-2376
DOI: 10.1145/3219819.3220058

Decoupled Weight Decay Regularization

Author(s): Loshchilov, Ilya; Hutter, Frank
Published in: ICLR 2019, Issue 5, 2019

Learning to Design RNA

Author(s): Runge, Frederic; Stoll, Danny; Falkner, Stefan; Hutter, Frank
Published in: ICLR 2019, Issue 5, 2019

Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari

Author(s): Chrabaszcz, Patryk; Loshchilov, Ilya; Hutter, Frank
Published in: IJCAI 2018, Issue 1, 2018

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Author(s): Ying, Chris; Klein, Aaron; Real, Esteban; Christiansen, Eric; Murphy, Kevin; Hutter, Frank
Published in: ICML 2019, Issue 5, 2019

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution - Published as a conference paper at ICLR 2019

Author(s): Hutter, Frank Elsken, Thomas Metzen, Jan Hendrik
Published in: 2019

Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Author(s): Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter
Published in: 2019

Practical Automated Machine Learning for the AutoML Challenge 2018

Author(s): Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter
Published in: ICML 2018, 2018

Towards Further Automation in AutoML

Author(s): Matthias Feurer Frank Hutter
Published in: ICML 2018, 2018

Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control

Author(s): Jör Franke, Jörg Gregor Köhler Noor Awad Frank Hutter
Published in: NeurIPS 2019, 2019

Neural Architecture Search: A Survey

Author(s): Elsken, Thomas; Metzen, Jan Hendrik; Hutter, Frank
Published in: JMLR, Issue 5, 2019, ISSN 1533-7928

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow

Author(s): Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
Published in: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VII, Issue 11211, 2018, Page(s) 677-693
DOI: 10.1007/978-3-030-01234-2_40

OpenML Benchmarking Suites and the OpenML100

Author(s): Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G.; van Rijn, Jan N.; Vanschoren, Joaquin
Published in: Issue 1, 2017

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Author(s): Chrabaszcz, Patryk; Loshchilov, Ilya; Hutter, Frank
Published in: arXiv, Issue 5, 2017

Automated Machine Learning: Methods, Systems, Challenges

Author(s): Hutter, Frank, Kotthoff, Lars, Vanschoren, Joaquin (Eds.)
Published in: The Springer Series on Challenges in Machine Learning, 2019

Fast Bayesian hyperparameteroptimization on large datasets

Author(s): Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter
Published in: Electronic Journal of Statistics, 2017, ISSN 1935-7524