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What do you Mean? The Role of the Mean Function in Bayesian Optimisation
v1v2 (latest)

What do you Mean? The Role of the Mean Function in Bayesian Optimisation

17 April 2020
George De Ath
J. Fieldsend
Richard Everson
ArXiv (abs)PDFHTML

Papers citing "What do you Mean? The Role of the Mean Function in Bayesian Optimisation"

6 / 6 papers shown
Data-driven Prior Learning for Bayesian Optimisation
Data-driven Prior Learning for Bayesian Optimisation
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
243
1
0
24 Nov 2023
Robust and Conjugate Gaussian Process Regression
Robust and Conjugate Gaussian Process RegressionInternational Conference on Machine Learning (ICML), 2023
Matias Altamirano
F. Briol
Jeremias Knoblauch
421
18
0
01 Nov 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Self-Correcting Bayesian Optimization through Bayesian Active LearningNeural Information Processing Systems (NeurIPS), 2023
Carl Hvarfner
E. Hellsten
Katharina Eggensperger
Luigi Nardi
GP
426
23
0
21 Apr 2023
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio EstimationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2022
George De Ath
Tinkle Chugh
Alma A. M. Rahat
195
5
0
31 Mar 2022
How Bayesian Should Bayesian Optimisation Be?
How Bayesian Should Bayesian Optimisation Be?
George De Ath
Richard Everson
J. Fieldsend
207
8
0
03 May 2021
Green Machine Learning via Augmented Gaussian Processes and
  Multi-Information Source Optimization
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization
Antonio Candelieri
R. Perego
Francesco Archetti
232
21
0
25 Jun 2020
1
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