5 papers
On the Convergence of Asynchronous Parallel Iteration with Unbounded Delays
Zhimin Peng, Yangyang Xu, Ming Yan +1
Recent years have witnessed the surge of asynchronous parallel (async-parallel) iterative algorithms due to problems involving very large-scale data and a large number of decision…
TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods
Brent Edmunds, Zhimin Peng, Wotao Yin
TMAC is a toolbox written in C++11 that implements algorithms based on a set of modern methods for large-scale optimization. It covers a variety of optimization problems, which can…
Coordinate Friendly Structures, Algorithms and Applications
Zhimin Peng, Tianyu Wu, Yangyang Xu +2
This paper focuses on coordinate update methods, which are useful for solving problems involving large or high-dimensional datasets. They decompose a problem into simple subproblem…
A Gauss-Seidel Iterative Thresholding Algorithm for lq Regularized Least Squares Regression
Jinshan Zeng, Zhimin Peng, Shaobo Lin
In recent studies on sparse modeling, () regularized least squares regression (LS) has received considerable attention due to its superiorities on sparsity-induci…
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection
Zhimin Peng, Prudhvi Gurram, Heesung Kwon +1
In this paper, a novel framework of sparse kernel learning for Support Vector Data Description (SVDD) based anomaly detection is presented. In this work, optimal sparse feature sel…