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Efficient Benchmarking of Algorithm Configuration Procedures via
  Model-Based Surrogates

Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates

30 March 2017
Katharina Eggensperger
Marius Lindauer
Holger H. Hoos
Frank Hutter
Kevin Leyton-Brown
ArXiv (abs)PDFHTML

Papers citing "Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates"

3 / 3 papers shown
Title
Benchmark and Survey of Automated Machine Learning Frameworks
Benchmark and Survey of Automated Machine Learning Frameworks
Marc-André Zöller
Marco F. Huber
75
86
0
26 Apr 2019
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedMLOOD
111
761
0
08 Oct 2018
Neural Networks for Predicting Algorithm Runtime Distributions
Neural Networks for Predicting Algorithm Runtime Distributions
Katharina Eggensperger
Marius Lindauer
Frank Hutter
46
10
0
22 Sep 2017
1