Multiple Information Source Bayesian Optimization
The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process” methodology. The book is important to clarify the relations and the important differences in using multi-fidelity or...
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| Main Authors: | , , |
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| Institution som forfatter: | |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Udgivelse: | 1st ed. 2025. |
| Serier: | SpringerBriefs in Optimization,
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| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-97965-1 |
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Indholdsfortegnelse:
- Preface
- Introduction
- MISO-AGP: dealing with multiple information sources via Augmented Gaussian Process
- MISO-AGP in action: selected applications
- Bayesian Optimization and Large Language Models
- References.