Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Frank Hutter

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning


Oct 11, 2021
Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer


  Access Paper or Ask Questions

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization


Sep 20, 2021
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, René Sass, Frank Hutter


  Access Paper or Ask Questions

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO


Sep 14, 2021
Katharina Eggensperger, Philipp Müller, Neeratyoy Mallik, Matthias Feurer, René Sass, Aaron Klein, Noor Awad, Marius Lindauer, Frank Hutter


  Access Paper or Ask Questions

Multi-headed Neural Ensemble Search


Jul 09, 2021
Ashwin Raaghav Narayanan, Arber Zela, Tonmoy Saikia, Thomas Brox, Frank Hutter

* 8 pages, 12 figures, 3 tables 

  Access Paper or Ask Questions

Bag of Tricks for Neural Architecture Search


Jul 08, 2021
Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter


  Access Paper or Ask Questions

Regularization is all you Need: Simple Neural Nets can Excel on Tabular Data


Jun 21, 2021
Arlind Kadra, Marius Lindauer, Frank Hutter, Josif Grabocka


  Access Paper or Ask Questions

TempoRL: Learning When to Act


Jun 09, 2021
André Biedenkapp, Raghu Rajan, Frank Hutter, Marius Lindauer

* Accepted at ICML'21 

  Access Paper or Ask Questions

Self-Paced Context Evaluation for Contextual Reinforcement Learning


Jun 09, 2021
Theresa Eimer, André Biedenkapp, Frank Hutter, Marius Lindauer


  Access Paper or Ask Questions

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization


May 20, 2021
Noor Awad, Neeratyoy Mallik, Frank Hutter


  Access Paper or Ask Questions

DACBench: A Benchmark Library for Dynamic Algorithm Configuration


May 18, 2021
Theresa Eimer, André Biedenkapp, Maximilian Reimer, Steven Adriaensen, Frank Hutter, Marius Lindauer

* Accepted at IJCAI 2021 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

How Powerful are Performance Predictors in Neural Architecture Search?


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


  Access Paper or Ask Questions

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


Mar 18, 2021
Samuel G. Müller, Frank Hutter


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies


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

* AAAI 2021 Meta-Learning Workshop 

  Access Paper or Ask Questions

In-Loop Meta-Learning with Gradient-Alignment Reward


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

* Accepted to Meta Learning Workshop at AAAI 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Differential Evolution for Neural Architecture Search


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Hyperparameter Transfer Across Developer Adjustments


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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Sample-Efficient Automated Deep Reinforcement Learning


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


  Access Paper or Ask Questions

Neural Model-based Optimization with Right-Censored Observations


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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Auto-Sklearn 2.0: The Next Generation


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


  Access Paper or Ask Questions

Prior-guided Bayesian Optimization


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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions