TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

6 June 2022

Papers citing "TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning"

8 / 8 papers shown

Title
Principled Architecture-aware Scaling of Hyperparameters Wuyang Chen Junru Wu Zhangyang Wang Boris Hanin AI4CE 43 1 0 27 Feb 2024
Towards General and Efficient Online Tuning for Spark Yang Li Huaijun Jiang Yu Shen Yide Fang Xiaofeng Yang ... Xinyi Zhang Wentao Zhang Ce Zhang Peng Chen Bin Cui 29 12 0 05 Sep 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 28 23 0 13 Jun 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Rover: An online Spark SQL tuning service via generalized transfer learning Yu Shen Xinyuyang Ren Yupeng Lu Huaijun Jiang Huanyong Xu Di Peng Yang Li Wentao Zhang Bin Cui 31 10 0 08 Feb 2023
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 327 0 20 Sep 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021