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The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance
  Regression and Algorithm Selection

The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection

19 April 2021
Anja Jankovic
Gorjan Popovski
T. Eftimov
Carola Doerr
ArXivPDFHTML

Papers citing "The Impact of Hyper-Parameter Tuning for Landscape-Aware Performance Regression and Algorithm Selection"

3 / 3 papers shown
Title
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
54
1
0
08 Jun 2024
Per-run Algorithm Selection with Warm-starting using Trajectory-based
  Features
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Ana Kostovska
Anja Jankovic
Diederick Vermetten
Jacob De Nobel
Hao Wang
T. Eftimov
Carola Doerr
27
37
0
20 Apr 2022
The Importance of Landscape Features for Performance Prediction of
  Modular CMA-ES Variants
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants
Ana Kostovska
Diederick Vermetten
S. Džeroski
Carola Doerr
Peter Korošec
T. Eftimov
28
8
0
15 Apr 2022
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