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.

翻译：Google Vizier已执行数百万次优化，并加速了谷歌内部的众多研究和生产系统，这证明了贝叶斯优化作为大规模服务的成功。经过多年发展，通过众多研究工作的集体经验和用户反馈，其算法已得到显著改进。在本技术报告中，我们讨论了开源Vizier当前默认算法的实现细节与设计选择。在标准化基准测试上的实验表明，该算法在多种实际模式下相较于成熟的行业基线方法具有鲁棒性和通用性。