Bayesian optimization with exponential convergence
This paper presents a Bayesian optimization method with exponential convergence without the need of auxiliary optimization and without the delta-cover sampling. Most Bayesian optimization methods require auxiliary optimization: an additional non-convex global optimization problem, which can be time-...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Neural Information Processing Systems Foundation,,
2018-02-05T15:15:28Z.
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Subjects: | |
Online Access: | Get fulltext |