1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Online AUC Optimization Based on Second-order Surrogate Loss
JunRu Luo, Difei Cheng, Bo Zhang
The Area Under the Curve (AUC) is an important performance metric for classification tasks, particularly in class-imbalanced scenarios. However, minimizing the AUC presents signifi…
cs.LG2021★ 1 cited
A Minimax Probability Machine for Non-Decomposable Performance Measures
Junru Luo, Hong Qiao, Bo Zhang
Imbalanced classification tasks are widespread in many real-world applications. For such classification tasks, in comparison with the accuracy rate, it is usually much more appropr…
cs.LG2021
Learning with Smooth Hinge Losses
JunRu Luo, Hong Qiao, Bo Zhang
Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster convergence rate with modern optimization algorithms. In this paper, we introduce two smooth…