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In this paper, we describe our method for tackling the automatedhyperparameter optimization challenge in QQ Browser 2021 AI AlgorithmCompetiton (ACM CIKM 2021 AnalyticCup Track 2). The competition organizersprovide anonymized realistic industrial tasks and datasets for black-boxoptimization. Based on our open-sourced package OpenBox, we adopt the Bayesianoptimization framework for configuration sampling and a heuristic earlystopping strategy. We won first place in both the preliminary and finalcontests with the results of 0.938291 and 0.918753, respectively.

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup