3 papers
math.OC2021
Mini-batch stochastic Nesterov's smoothing method for constrained convex stochastic composite optimization
Ruyu Wang, Chao Zhang, Lichun Wang +1
This paper considers a class of constrained convex stochastic composite optimization problems whose objective function is given by the summation of a differentiable convex componen…
math.OC2020
Proximal Operator and Optimality Conditions for Ramp Loss SVM
Huajun Wang, Yuanhai Shao, Naihua Xiu
Support vector machines with ramp loss (dubbed as -SVM) have attracted wide attention due to the boundedness of ramp loss. However, the corresponding optimization problem is n…
math.OC2019
Support Vector Machine Classifier via Soft-Margin Loss
Huajun Wang, Yuanhai Shao, Shenglong Zhou +2
Support vector machine (SVM) has attracted great attentions for the last two decades due to its extensive applications, and thus numerous optimization models have been proposed. To…