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Greed is Good: Exploration and Exploitation Trade-offs in Bayesian
  Optimisation

Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

28 November 2019
George De Ath
Richard Everson
Alma A. M. Rahat
J. Fieldsend
ArXivPDFHTML

Papers citing "Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation"

23 / 23 papers shown
Title
Respecting the limit:Bayesian optimization with a bound on the optimal value
Respecting the limit:Bayesian optimization with a bound on the optimal value
Hanyang Wang
Juergen Branke
Matthias Poloczek
45
0
0
07 Nov 2024
An adaptive approach to Bayesian Optimization with switching costs
An adaptive approach to Bayesian Optimization with switching costs
Stefan Pricopie
Richard Allmendinger
Manuel López-Ibánez
Clyde Fare
Matt Benatan
Joshua D. Knowles
21
0
0
14 May 2024
Variational Entropy Search for Adjusting Expected Improvement
Variational Entropy Search for Adjusting Expected Improvement
Nuojin Cheng
Stephen Becker
28
1
0
17 Feb 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
Wang Chao
Jiaxuan Zhao
Licheng Jiao
Lingling Li
Fang Liu
Shuyuan Yang
75
13
0
19 Jan 2024
Accelerating material discovery with a threshold-driven hybrid
  acquisition policy-based Bayesian optimization
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
Ahmed Shoyeb Raihan
H. Khosravi
Srinjoy Das
Imtiaz Ahmed
39
3
0
16 Nov 2023
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
49
1
0
07 Jun 2023
Multi-objective optimisation via the R2 utilities
Multi-objective optimisation via the R2 utilities
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
191
3
0
19 May 2023
Mastering the exploration-exploitation trade-off in Bayesian
  Optimization
Mastering the exploration-exploitation trade-off in Bayesian Optimization
Antonio Candelieri
34
1
0
15 May 2023
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
Accelerating the Evolutionary Algorithms by Gaussian Process Regression
  with $ε$-greedy acquisition function
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with εεε-greedy acquisition function
Rui Zhong
En-zhan Zhang
M. Munetomo
15
0
0
13 Oct 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Gamifying optimization: a Wasserstein distance-based analysis of human
  search
Gamifying optimization: a Wasserstein distance-based analysis of human search
Antonio Candelieri
Andrea Ponti
Francesco Archetti
23
0
0
12 Dec 2021
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting
  Sequential Experiment Policy
Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy
Imtiaz Ahmed
Satish Bukkapatnam
Bhaskar Botcha
Yucheng Ding
41
5
0
01 Dec 2021
A portfolio approach to massively parallel Bayesian optimization
A portfolio approach to massively parallel Bayesian optimization
M. Binois
Nicholson T. Collier
J. Ozik
27
9
0
18 Oct 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
85
455
0
13 Jul 2021
One-parameter family of acquisition functions for efficient global
  optimization
One-parameter family of acquisition functions for efficient global optimization
T. Kanazawa
35
2
0
26 Apr 2021
What Makes an Effective Scalarising Function for Multi-Objective
  Bayesian Optimisation?
What Makes an Effective Scalarising Function for Multi-Objective Bayesian Optimisation?
C. Stock-Williams
Tinkle Chugh
Alma A. M. Rahat
Wei Yu
11
2
0
10 Apr 2021
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
22
26
0
30 Mar 2021
Uncertainty quantification and exploration-exploitation trade-off in
  humans
Uncertainty quantification and exploration-exploitation trade-off in humans
Antonio Candelieri
Andrea Ponti
Francesco Archetti
21
4
0
05 Feb 2021
Asynchronous ε-Greedy Bayesian Optimisation
Asynchronous ε-Greedy Bayesian Optimisation
George De Ath
Richard Everson
J. Fieldsend
35
5
0
15 Oct 2020
$ε$-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
Expected Improvement versus Predicted Value in Surrogate-Based
  Optimization
Expected Improvement versus Predicted Value in Surrogate-Based Optimization
Frederik Rehbach
Martin Zaefferer
B. Naujoks
T. Bartz-Beielstein
23
24
0
09 Jan 2020
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
1