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: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Neural Information Processing Systems Foundation,
2018
|
| Online Access: | http://hdl.handle.net/1721.1/113410 https://orcid.org/0000-0003-1839-7504 https://orcid.org/0000-0001-6054-7145 https://orcid.org/0000-0002-8657-2450 |