Frank Hutter

47 publications

18 venues

H Index27

Name Venue Year Citations
The Configurable SAT Solver Challenge (CSSC). Artificial Intelligence 2017 32
: The Design and Analysis of an Algorithm Portfolio for SAT. CP 2007 94
Automated Configuration of Mixed Integer Programming Solvers. CPAIOR 2010 108
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract). IJCAI 2017 3
Neural Architecture Search: A Survey. JMLR 2019 221
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. AISTATS 2017 132
Scaling and Probabilistic Smoothing: Efficient Dynamic Local Search for SAT. CP 2002 165
Bayesian Optimization with Robust Bayesian Neural Networks. NIPS/NeurIPS 2016 112
Bayesian Optimization in High Dimensions via Random Embeddings. IJCAI 2013 151
Evaluating Component Solver Contributions to Portfolio-Based Algorithm Selectors. SAT 2012 53
Efficient and Robust Automated Machine Learning. NIPS/NeurIPS 2015 456
On the Effective Configuration of Planning Domain Models. IJCAI 2015 20
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms. KDD 2013 516
Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract). IJCAI 2015 47
SATzilla: Portfolio-based Algorithm Selection for SAT. JAIR 2008 573
NAS-Bench-101: Towards Reproducible Neural Architecture Search. ICML 2019 44
Automatic Algorithm Configuration Based on Local Search. AAAI 2007 177
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. IJCAI 2018 25
SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. SAT 2015 9
Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. ECCV 2018 26
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. JMLR 2017 172
Hyperparameter Importance Across Datasets. KDD 2018 29
Maximizing acquisition functions for Bayesian optimization. NIPS/NeurIPS 2018 18
Efficient Benchmarking of Hyperparameter Optimizers via Surrogates. AAAI 2015 52
BOHB: Robust and Efficient Hyperparameter Optimization at Scale. ICML 2018 107
An Efficient Approach for Assessing Hyperparameter Importance. ICML 2014 107
Pitfalls and Best Practices in Algorithm Configuration. JAIR 2019 5
An Evolution Strategy with Progressive Episode Lengths for Playing Games. IJCAI 2019 0
AutoDispNet: Improving Disparity Estimation With AutoML. ICCV 2019 5
AutoFolio: An Automatically Configured Algorithm Selector. JAIR 2015 54
Improved Features for Runtime Prediction of Domain-Independent Planners. ICAPS 2014 32
Initializing Bayesian Hyperparameter Optimization via Meta-Learning. AAAI 2015 164
Neural Networks for Predicting Algorithm Runtime Distributions. IJCAI 2018 3
ParamILS: An Automatic Algorithm Configuration Framework. JAIR 2009 2
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms. CP 2006 120
Automatic Configuration of Sequential Planning Portfolios. AAAI 2015 30
Efficient Parameter Importance Analysis via Ablation with Surrogates. AAAI 2017 12
Automatic bone parameter estimation for skeleton tracking in optical motion capture. ICRA 2016 7
Efficient Stochastic Local Search for MPE Solving. IJCAI 2005 41
Meta-Surrogate Benchmarking for Hyperparameter Optimization. NIPS/NeurIPS 2019 1
Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves. IJCAI 2015 192
Warmstarting of Model-Based Algorithm Configuration. AAAI 2018 13
Optimizing Neural Networks for Patent Classification. ECML/PKDD 2019 0
Efficient benchmarking of algorithm configurators via model-based surrogates. MLJ 2018 0
Algorithm runtime prediction: Methods & evaluation. Artificial Intelligence 2014 0
ASlib: A benchmark library for algorithm selection. Artificial Intelligence 2016 0
Bayesian Optimization in a Billion Dimensions via Random Embeddings. JAIR 2016 0
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