Openbox: A generalized black-box optimization service Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 67 | 2021 |
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale Y Li, Y Shen, H Jiang, W Zhang, J Li, J Liu, C Zhang, B Cui arXiv preprint arXiv:2201.06834, 2022 | 19 | 2022 |
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Y Li, Y Shen, H Jiang, W Zhang, Z Yang, C Zhang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 13 | 2022 |
Transfer Learning based Search Space Design for Hyperparameter Tuning Y Li, Y Shen, H Jiang, T Bai, W Zhang, C Zhang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 11 | 2022 |
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup H Jiang, Y Shen, Y Li arXiv preprint arXiv:2111.00513, 2021 | 6 | 2021 |
Towards General and Efficient Online Tuning for Spark Y Li, H Jiang, Y Shen, Y Fang, X Yang, D Huang, X Zhang, W Zhang, ... arXiv preprint arXiv:2309.01901, 2023 | 5 | 2023 |
Openbox: A Python toolkit for generalized black-box optimization H Jiang, Y Shen, Y Li, B Xu, S Du, W Zhang, C Zhang, B Cui Journal of Machine Learning Research 25 (120), 1-11, 2024 | 4 | 2024 |
Rover: An online Spark SQL tuning service via generalized transfer learning Y Shen, X Ren, Y Lu, H Jiang, H Xu, D Peng, Y Li, W Zhang, B Cui Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |