论文标题
开源Vizier：可靠且灵活的黑框优化的分布式基础架构和API
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization
论文作者
论文摘要
Vizier是Google的Decacto Blackbox和Hyper参数优化服务，它优化了一些Google最大的产品和研究工作。为了按照调整数千个用户的关键系统的规模运行，Google Vizier在提供多个不同的功能方面解决了关键的设计挑战，同时保持完全容忍。在本文中，我们介绍了基于Google内部Vizier基础架构和框架的基于Python的独立界面开源（OSS）Vizier。 OSS Vizier提供了一种能够定义和解决各种优化问题的API，包括多样性，早期停止，转移学习和条件搜索。此外，它被设计为一个确保可靠性的分布式系统，并允许对用户目标函数进行多次并行评估。灵活的基于RPC的基础架构使用户可以从任何语言编写的二进制文件中访问OSS Vizier。 OSS Vizier还提供了后端（“ Pythia”）API，它为算法作者提供了一种与Core OSS Vizier系统接口新算法的方法。 OSS Vizier可从https://github.com/google/vizier获得。
Vizier is the de-facto blackbox and hyperparameter optimization service across Google, having optimized some of Google's largest products and research efforts. To operate at the scale of tuning thousands of users' critical systems, Google Vizier solved key design challenges in providing multiple different features, while remaining fully fault-tolerant. In this paper, we introduce Open Source (OSS) Vizier, a standalone Python-based interface for blackbox optimization and research, based on the Google-internal Vizier infrastructure and framework. OSS Vizier provides an API capable of defining and solving a wide variety of optimization problems, including multi-metric, early stopping, transfer learning, and conditional search. Furthermore, it is designed to be a distributed system that assures reliability, and allows multiple parallel evaluations of the user's objective function. The flexible RPC-based infrastructure allows users to access OSS Vizier from binaries written in any language. OSS Vizier also provides a back-end ("Pythia") API that gives algorithm authors a way to interface new algorithms with the core OSS Vizier system. OSS Vizier is available at https://github.com/google/vizier.
