Mind the Gap: Measuring Generalization Performance Across Multiple Objectives-Reference-Cited by-同舟云学术

Mind the Gap: Measuring Generalization Performance Across Multiple Objectives

Published:2023 Issue: Volume: Page:130-142
ISSN:0302-9743
Container-title:Advances in Intelligent Data Analysis XXI
language:
Short-container-title:

Author:

Feurer Matthias,Eggensperger Katharina,Bergman Edward,Pfisterer Florian,Bischl Bernd,Hutter Frank

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-30047-9_11

Reference35 articles.

1. Benmeziane, H., El Maghraoui, K., Ouarnoughi, H., Niar, S., Wistuba, M., Wang, N.: A comprehensive survey on Hardware-aware Neural Architecture Search. arXiv:2101.09336 [cs.LG] (2021)

2. Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281–305 (2012)

3. Binder, M., Moosbauer, J., Thomas, J., Bischl, B.: Multi-objective hyperparameter tuning and feature selection using filter ensembles. In: Ceberio, J. (ed.) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2020), pp. 471–479. ACM Press (2020)

4. Breiman, L.: Random forests. Mach. Learn. J. 45, 5–32 (2001)

5. Chakraborty, J., Xia, T., Fahid, F., Menzies, T.: Software engineering for fairness: a case study with Hyperparameter Optimization. In: Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep reinforcement learning for multi-objective optimization in BIM-based green building design;Automation in Construction;2024-10

2. Multi-objective Ranking using Bootstrap Resampling;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14