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EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on
  Expensive Black-box Functions

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions

8 June 2021
Laurens Bliek
Arthur Guijt
R. Karlsson
S. Verwer
Mathijs de Weerdt
ArXivPDFHTML

Papers citing "EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions"

4 / 4 papers shown
Title
Bayesian Optimisation Against Climate Change: Applications and
  Benchmarks
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
34
1
0
07 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
39
7
0
02 Jun 2023
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
46
100
0
14 Sep 2021
Machine learning for improving performance in an evolutionary algorithm
  for minimum path with uncertain costs given by massively simulated scenarios
Machine learning for improving performance in an evolutionary algorithm for minimum path with uncertain costs given by massively simulated scenarios
Ricardo Di Pasquale
J. Marenco
6
1
0
03 Feb 2021
1