TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning-Reference-Cited by-同舟云学术

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning

Published:2022-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Li Yang¹,Shen Yu¹,Jiang Huaijun¹,Zhang Wentao¹,Yang Zhi¹,Zhang Ce²,Cui Bin³

Affiliation:

1. Peking University, Beijing, China

2. ETH Zurich, Zurich, Switzerland

3. Peking University, Zurich, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539255

Reference60 articles.

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2. Bilevel Optimization and Machine Learning

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4. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In Advances in neural information processing systems. 2546--2554. James S Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. In Advances in neural information processing systems. 2546--2554.

5. Bernd Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter Stefan Coors Janek Thomas Theresa Ullmann Marc Becker Anne-Laure Boulesteix etal 2021. Hyperparameter optimization: Foundations algorithms best practices and open challenges. arXiv preprint arXiv:2107.05847 (2021). Bernd Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter Stefan Coors Janek Thomas Theresa Ullmann Marc Becker Anne-Laure Boulesteix et al. 2021. Hyperparameter optimization: Foundations algorithms best practices and open challenges. arXiv preprint arXiv:2107.05847 (2021).

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