The Vizier Gaussian Process Bandit Algorithm
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arXiv
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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910730449584128 |
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| author | Song, Xingyou Zhang, Qiuyi Lee, Chansoo Fertig, Emily Huang, Tzu-Kuo Belenki, Lior Kochanski, Greg Ariafar, Setareh Vasudevan, Srinivas Perel, Sagi Golovin, Daniel |
| author_facet | Song, Xingyou Zhang, Qiuyi Lee, Chansoo Fertig, Emily Huang, Tzu-Kuo Belenki, Lior Kochanski, Greg Ariafar, Setareh Vasudevan, Srinivas Perel, Sagi Golovin, Daniel |
| contents | Google Vizier has performed millions of optimizations and accelerated numerous research and production systems at Google, demonstrating the success of Bayesian optimization as a large-scale service. Over multiple years, its algorithm has been improved considerably, through the collective experiences of numerous research efforts and user feedback. In this technical report, we discuss the implementation details and design choices of the current default algorithm provided by Open Source Vizier. Our experiments on standardized benchmarks reveal its robustness and versatility against well-established industry baselines on multiple practical modes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_11527 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Vizier Gaussian Process Bandit Algorithm Song, Xingyou Zhang, Qiuyi Lee, Chansoo Fertig, Emily Huang, Tzu-Kuo Belenki, Lior Kochanski, Greg Ariafar, Setareh Vasudevan, Srinivas Perel, Sagi Golovin, Daniel Machine Learning Artificial Intelligence Optimization and Control Google Vizier has performed millions of optimizations and accelerated numerous research and production systems at Google, demonstrating the success of Bayesian optimization as a large-scale service. Over multiple years, its algorithm has been improved considerably, through the collective experiences of numerous research efforts and user feedback. In this technical report, we discuss the implementation details and design choices of the current default algorithm provided by Open Source Vizier. Our experiments on standardized benchmarks reveal its robustness and versatility against well-established industry baselines on multiple practical modes. |
| title | The Vizier Gaussian Process Bandit Algorithm |
| topic | Machine Learning Artificial Intelligence Optimization and Control |
| url | https://arxiv.org/abs/2408.11527 |