General framework for binary classification on top samples

DOI10.1080/10556788.2021.1965601OpenAlexW3007537746MaRDI QIDQ5058388

Tomáš Pevný, Lukáš Adam, Václav Mácha, Václav Šmídl

Publication date: 20 December 2022

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.10923

zbMATH Keywords

classificationrankinggeneral frameworkNeyman-Pearsonaccuracy at the topPat\&Mat

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Quadratic programming (90C20) Numerical methods based on necessary conditions (49M05) Optimality conditions for free problems in two or more independent variables (49K10)

Uses Software

• Adam

Cites Work

• Minimizing finite sums with the stochastic average gradient
• 10.1162/1532443041827916
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