Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization
Optimizing complex systems usually involves costly and time-consuming experiments, where selecting the experiments to perform is fundamental. Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning...
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Main Authors: | Javier Garcia-Barcos, Ruben Martinez-Cantin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/27/1/58 |
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