How Bayesian should Bayesian optimisation be?
Author:
Affiliation:
1. University of Exeter, Exeter, United Kingdom
Funder
UK Research and Innovation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449726.3463164
Reference53 articles.
1. Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion
2. Variational Inference: A Review for Statisticians
3. Eric Brochu Vlad M Cora and Nando De Freitas. 2010. A tutorial on Bayesian optimization of expensive cost functions with application to active user modeling and hierarchical reinforcement learning. arXiv:1012.2599 Eric Brochu Vlad M Cora and Nando De Freitas. 2010. A tutorial on Bayesian optimization of expensive cost functions with application to active user modeling and hierarchical reinforcement learning. arXiv:1012.2599
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