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Novel and Efficient Approximations for Zero-One and Ranking Losses of Linear Classifiers

Crossref DOI link: https://doi.org/10.1007/s10013-025-00767-6

Published Online: 2025-07-21

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghanbari, Hiva

Li, Minhan

Scheinberg, Katya https://orcid.org/0000-0003-3547-1841
Funding

Funding for this research was provided by:

NSF (1740796)
License Information

Text and Data Mining valid from 2025-07-21

Version of Record valid from 2025-07-21
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Article History

Received: 27 December 2023

Accepted: 4 March 2025

First Online: 21 July 2025