Generalizing transfer Bayesian optimization to source-target heterogeneity
Black-box optimization algorithms typically start a search from scratch, assuming little prior knowledge about the task at hand. In practice, this approach can be prohibitive for computationally expensive problems, as a large number of costly function evaluations are often needed before a suitable (...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
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2022
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| 在線閱讀: | https://hdl.handle.net/10356/160308 |
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