20 citations · 27 across the 5 of their papers we have counts for
6 papers
Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions
Joong-Ho Won, Teng Zhang, Hua Zhou
This paper studies an optimization problem on the sum of traces of matrix quadratic forms in semi-orthogonal matrices, which can be considered as a generalization of the synchr…
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Honggang Yu, Shihfeng Zeng, Teng Zhang +2
Machine learning researchers have long noticed the phenomenon that the model training process will be more effective and efficient when the training samples are densely sampled aro…
Tightness of the semidefinite relaxation for orthogonal trace-sum maximization
Teng Zhang
This paper studies an optimization problem on the sum of traces of matrix quadratic forms on orthogonal matrices, which can be considered as a generalization of the synchroniza…
Element-wise estimation error of a total variation regularized estimator for change point detection
Teng Zhang
This work studies the total variation regularized estimator (fused lasso) in the setting of a change point detection problem. Compared with existing works that focus on th…
Phase Retrieval by Alternating Minimization with Random Initialization
Teng Zhang
We consider a phase retrieval problem, where the goal is to reconstruct a -dimensional complex vector from its phaseless scalar products with sensing vectors, independently…
Robust PCA by Manifold Optimization
Teng Zhang, Yi Yang
Robust PCA is a widely used statistical procedure to recover a underlying low-rank matrix with grossly corrupted observations. This work considers the problem of robust PCA as a no…