Non-parametric Online AUC Maximization-Reference-Cited by-同舟云学术

Non-parametric Online AUC Maximization

Published:2017 Issue: Volume: Page:575-590
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
Short-container-title:

Author:

Szörényi Balázs,Cohen Snir,Mannor Shie

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71246-8_35

Reference22 articles.

1. Agarwal, S.: Surrogate regret bounds for bipartite ranking via strongly proper losses. J. Mach. Learn. Res. 15(1), 1653–1674 (2014)

2. Agarwal, S., Graepel, T., Herbrich, R., Har-Peled, S., Roth, D.: Generalization bounds for the area under the ROC curve. JMLR 6, 393–425 (2005)

3. Ailon, N., Mohri, M.: An efficient reduction of ranking to classification. In: COLT 2008, Helsinki, Finland, 9–12 July 2008, pp. 87–98 (2008)

4. Anava, O., Levy, K.: $$k^\ast $$ k * -nearest neighbors: from global to local. In: Lee, D.D., Sugiyama, M., Luxburg, U.V., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 29, pp. 4916–4924. Curran Associates Inc., Red Hook (2016)

5. Balcan, M.F., Bansal, N., Beygelzimer, A., Coppersmith, D., Langford, J., Sorkin, G.B.: Robust reductions from ranking to classification. Mach. Learn. 72(1), 139–153 (2008)

Cited by 4 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. AUC Maximization in the Era of Big Data and AI: A Survey;ACM Computing Surveys;2022-12-23

2. A Unified Framework against Topology and Class Imbalance;Proceedings of the 30th ACM International Conference on Multimedia;2022-10-10

3. Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms;IEEE Access;2022

4. Scalable Nonlinear AUC Maximization Methods;Machine Learning and Knowledge Discovery in Databases;2019