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Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization


May 03, 2021
Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter


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How Powerful are Performance Predictors in Neural Architecture Search?


Apr 02, 2021
Colin White, Arber Zela, Binxin Ru, Yang Liu, Frank Hutter


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TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation


Mar 18, 2021
Samuel G. Müller, Frank Hutter


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On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning


Feb 26, 2021
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra

* 19 pages, accepted by AISTATS 2021 

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Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies


Feb 08, 2021
Fabio Ferreira, Thomas Nierhoff, Frank Hutter

* AAAI 2021 Meta-Learning Workshop 

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In-Loop Meta-Learning with Gradient-Alignment Reward


Feb 05, 2021
Samuel Müller, André Biedenkapp, Frank Hutter

* Accepted to Meta Learning Workshop at AAAI 

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Squirrel: A Switching Hyperparameter Optimizer


Dec 16, 2020
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, Andre' Biedenkapp, Diederick Vermetten, Hao Wang, Carola Doerr, Marius Lindauer, Frank Hutter


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Differential Evolution for Neural Architecture Search


Dec 11, 2020
Noor Awad, Neeratyoy Mallik, Frank Hutter


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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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