15 citations · 18 across the 6 of their papers we have counts for
6 papers
Scalable Optimal Margin Distribution Machine
Yilin Wang, Nan Cao, Teng Zhang +2
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performanc…
Understanding Overfitting in Adversarial Training via Kernel Regression
Teng Zhang, Kang Li
Adversarial training and data augmentation with noise are widely adopted techniques to enhance the performance of neural networks. This paper investigates adversarial training and…
On the Optimization of Margin Distribution
Meng-Zhang Qian, Zheng Ai, Teng Zhang +1
Margin has played an important role on the design and analysis of learning algorithms during the past years, mostly working with the maximization of the minimum margin. Recent year…
Element-wise Estimation Error of Generalized Fused Lasso
Teng Zhang, Sabyasachi Chatterjee
The main result of this article is that we obtain an elementwise error bound for the Fused Lasso estimator for any general convex loss function . We then focus on the special ca…
Optimal Margin Distribution Machine
Teng Zhang, Zhi-Hua Zhou
Support vector machine (SVM) has been one of the most popular learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the inst…
Large Margin Distribution Machine
Teng Zhang, Zhi-Hua Zhou
Support vector machine (SVM) has been one of the most popular learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the inst…