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Frank Hutter
Convergence Analysis of Homotopy-SGD for non-convex optimization

Nov 20, 2020
Matilde Gargiani, Andrea Zanelli, Quoc Tran-Dinh, Moritz Diehl, Frank Hutter

* 21 pages, 14 figures, technical report 
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Hyperparameter Transfer Across Developer Adjustments

Oct 25, 2020
Danny Stoll, Jörg K. H. Franke, Diane Wagner, Simon Selg, Frank Hutter


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On the Importance of Domain Model Configuration for Automated Planning Engines

Oct 15, 2020
Mauro Vallati, Lukas Chrpa, Thomas L. McCluskey, Frank Hutter

* Under consideration in Journal of Automated Reasoning 
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Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Oct 09, 2020
Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper

* 13 pages, 4 figures, 6 tables 
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Sample-Efficient Automated Deep Reinforcement Learning

Oct 05, 2020
Jörg K. H. Franke, Gregor Köhler, André Biedenkapp, Frank Hutter


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Neural Model-based Optimization with Right-Censored Observations

Sep 29, 2020
Katharina Eggensperger, Kai Haase, Philipp Müller, Marius Lindauer, Frank Hutter


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NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search

Aug 22, 2020
Julien Siems, Lucas Zimmer, Arber Zela, Jovita Lukasik, Margret Keuper, Frank Hutter


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Auto-Sklearn 2.0: The Next Generation

Jul 08, 2020
Matthias Feurer, Katharina Eggensperger, Stefan Falkner, Marius Lindauer, Frank Hutter


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Prior-guided Bayesian Optimization

Jun 25, 2020
Artur Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter


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Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Jun 24, 2020
Lucas Zimmer, Marius Lindauer, Frank Hutter


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Neural Ensemble Search for Performant and Calibrated Predictions

Jun 15, 2020
Sheheryar Zaidi, Arber Zela, Thomas Elsken, Chris Holmes, Frank Hutter, Yee Whye Teh


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Learning Heuristic Selection with Dynamic Algorithm Configuration

Jun 15, 2020
David Speck, André Biedenkapp, Frank Hutter, Robert Mattmüller, Marius Lindauer

* 9 pages, 4 figures, 3 tables 
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On the Promise of the Stochastic Generalized Gauss-Newton Method for Training DNNs

Jun 09, 2020
Matilde Gargiani, Andrea Zanelli, Moritz Diehl, Frank Hutter


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Machine-Learning-Based Diagnostics of EEG Pathology

Feb 11, 2020
Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball


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NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

Jan 28, 2020
Arber Zela, Julien Siems, Frank Hutter

* In: International Conference on Learning Representations (ICLR 2020); 20 pages, 20 figures 
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Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control

Dec 04, 2019
Jörg K. H. Franke, Gregor Köhler, Noor Awad, Frank Hutter

* NeurIPS 2019 MetaLearn Workshop 
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Meta-Learning of Neural Architectures for Few-Shot Learning

Nov 25, 2019
Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter


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OpenML-Python: an extensible Python API for OpenML

Nov 06, 2019
Matthias Feurer, Jan N. van Rijn, Arlind Kadra, Pieter Gijsbers, Neeratyoy Mallik, Sahithya Ravi, Andreas Müller, Joaquin Vanschoren, Frank Hutter


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Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings

Oct 10, 2019
Matilde Gargiani, Aaron Klein, Stefan Falkner, Frank Hutter


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Understanding and Robustifying Differentiable Architecture Search

Sep 20, 2019
Arber Zela, Thomas Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, Frank Hutter

* 28 pages, 25 figures 
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!MDP Playground: Meta-Features in Reinforcement Learning

Sep 17, 2019
Raghu Rajan, Frank Hutter

* Submitted to NIPS Deep RL Workshop 
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Best Practices for Scientific Research on Neural Architecture Search

Sep 05, 2019
Marius Lindauer, Frank Hutter


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Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters

Aug 19, 2019
Marius Lindauer, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Frank Hutter

* Accepted at DSO workshop (as part of IJCAI'19) 
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BOAH: A Tool Suite for Multi-Fidelity Bayesian Optimization & Analysis of Hyperparameters

Aug 16, 2019
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Joshua Marben, Philipp Müller, Frank Hutter


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Towards White-box Benchmarks for Algorithm Control

Jun 18, 2019
André Biedenkapp, H. Furkan Bozkurt, Frank Hutter, Marius Lindauer

* 8 pages, 9 figures 
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Meta-Surrogate Benchmarking for Hyperparameter Optimization

May 30, 2019
Aaron Klein, Zhenwen Dai, Frank Hutter, Neil Lawrence, Javier Gonzalez


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