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Frank Hutter · Study
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Author
Frank Hutter
15 works
· latest 2024
· 2 institutions
cluster: provisional
ORCID 0000-0002-2037-3694
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15
Citations
3,060
Works here
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24
Most cited in this library
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
2018 · 530 citations
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
2016 · 425 citations
Bayesian Optimization in a Billion Dimensions via Random Embeddings
2016 · 392 citations
AI for social good: unlocking the opportunity for positive impact
2020 · 356 citations
Managing extreme AI risks amid rapid progress
2024 · 347 citations
Works
15 shown
Managing extreme AI risks amid rapid progress
Science
·
2024
·
25 authors
·
Open access
347
citations
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML
Journal of Artificial Intelligence Research
·
2024
·
9 authors
·
Open access
24
citations
AI for social good: unlocking the opportunity for positive impact
Nature Communications
·
2020
·
24 authors
·
review
·
Open access
356
citations
Optimizing Neural Networks for Patent Classification
Lecture notes in computer science
·
2020
·
5 authors
·
other
·
Open access
24
citations
OpenML-Python: an extensible Python API for OpenML
arXiv (Cornell University)
·
2019
·
9 authors
·
preprint
·
Open access
51
citations
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
arXiv (Cornell University)
·
2018
·
3 authors
·
preprint
·
Open access
530
citations
Maximizing acquisition functions for Bayesian optimization
arXiv (Cornell University)
·
2018
·
2 authors
·
preprint
·
Open access
172
citations
The reparameterization trick for acquisition functions
arXiv (Cornell University)
·
2017
·
3 authors
·
preprint
·
Open access
39
citations
Fast Bayesian hyperparameter optimization on large datasets
Electronic Journal of Statistics
·
2017
·
5 authors
·
Open access
67
citations
The Sacred Infrastructure for Computational Research
Proceedings of the Python in Science Conferences
·
2017
·
5 authors
·
other
·
Open access
63
citations
Bayesian optimization with robust Bayesian neural networks
neural information processing systems
·
2016
·
4 authors
274
citations
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
arXiv (Cornell University)
·
2016
·
5 authors
·
preprint
·
Open access
425
citations
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Journal of Artificial Intelligence Research
·
2016
·
4 authors
·
Open access
392
citations
Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces
arXiv (Cornell University)
·
2014
·
5 authors
·
preprint
·
Open access
52
citations
Bayesian optimization in high dimensions via random embeddings
UvA-DARE (University of Amsterdam)
·
2013
·
4 authors
·
other
·
Open access
244
citations