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math.OC2019
A sparse semismooth Newton based augmented Lagrangian method for large-scale support vector machines
Dunbiao Niu, Chengjing Wang, Peipei Tang +2
Support vector machines (SVMs) are successful modeling and prediction tools with a variety of applications. Previous work has demonstrated the superiority of the SVMs in dealing wi…
math.OC2017★ 3 cited
Block Coordinate Descent Only Converge to Minimizers
Enbin Song, Zhubin Shen, Qingjiang Shi
Given a non-convex twice continuously differentiable cost function with Lipschitz continuous gradient, we prove that all of block coordinate gradient descent, block mirror descent…