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Expected Improvement versus Predicted Value in Surrogate-Based
  Optimization

Expected Improvement versus Predicted Value in Surrogate-Based Optimization

9 January 2020
Frederik Rehbach
Martin Zaefferer
B. Naujoks
T. Bartz-Beielstein
ArXivPDFHTML

Papers citing "Expected Improvement versus Predicted Value in Surrogate-Based Optimization"

5 / 5 papers shown
Title
Treasure What You Have: Exploiting Similarity in Deep Neural Networks
  for Efficient Video Processing
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing
Hadjer Benmeziane
Halima Bouzidi
Hamza Ouarnoughi
Ozcan Ozturk
Smail Niar
38
0
0
10 May 2023
Multi-surrogate Assisted Efficient Global Optimization for Discrete
  Problems
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Qiaoyun Huang
R. D. Winter
Bas van Stein
Thomas Bäck
Anna V. Kononova
19
2
0
13 Dec 2022
Pareto Set Learning for Expensive Multi-Objective Optimization
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
39
54
0
16 Oct 2022
Revisiting Bayesian Optimization in the light of the COCO benchmark
Revisiting Bayesian Optimization in the light of the COCO benchmark
Rodolphe Le Riche
Victor Picheny
16
26
0
30 Mar 2021
$ε$-shotgun: $ε$-greedy Batch Bayesian Optimisation
εεε-shotgun: εεε-greedy Batch Bayesian Optimisation
George De Ath
Richard Everson
J. Fieldsend
Alma A. M. Rahat
29
15
0
05 Feb 2020
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