Exploration Enhanced Expected Improvement for Bayesian Optimization
Bayesian optimization (BO) is a sample-efficient method for global optimization of expensive, noisy, black-box functions using probabilistic methods. The performance of a BO method depends on its selection strategy through an acquisition function. This must balance improving our understanding of the...
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Published in | Machine Learning and Knowledge Discovery in Databases Vol. 11052; pp. 621 - 637 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2019
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Online Access | Get full text |
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