CIKM 2021 AnalyticCup自动化超参数优化挑战赛
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup
摘要：
在本文中，我们描述了我们在QQ浏览器2021 AI算法竞赛（ACM CIKM 2021 AnalyticCup Track 2）中解决自动超参数优化挑战的方法。竞赛组织者提供匿名的现实工业任务和数据集，用于黑盒优化。基于我们的开源软件包OpenBox，我们采用贝叶斯优化框架的配置采样和启发式提前停止策略。我们在初赛和决赛中都获得了第一名，成绩分别为0.938291和0.918753。
英文摘要：
In this paper, we describe our method for tackling the automated hyperparameter optimization challenge in QQ Browser 2021 AI Algorithm Competiton (ACM CIKM 2021 AnalyticCup Track 2). The competition organizers provide anonymized realistic industrial tasks and datasets for black-box optimization. Based on our open-sourced package OpenBox, we adopt the Bayesian optimization framework for configuration sampling and a heuristic early stopping strategy. We won first place in both the preliminary and final contests with the results of 0.938291 and 0.918753, respectively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
