269 citations · 461 across the 9 of their papers we have counts for
9 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…
ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates
Zhimin Peng, Yangyang Xu, Ming Yan +1
Finding a fixed point to a nonexpansive operator, i.e., , abstracts many problems in numerical linear algebra, optimization, and other areas of scientific computing. To s…
A Cyclic Coordinate Descent Algorithm for lq Regularization
Jinshan Zeng, Zhimin Peng, Shaobo Lin +1
In recent studies on sparse modeling, () regularization has received considerable attention due to its superiorities on sparsity-inducing and bias reduction over the $…
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing
Yu Wang, Jinshan Zeng, Zhimin Peng +2
This paper studies the convergence of the adaptively iterative thresholding (AIT) algorithm for compressed sensing. We first introduce a generalized restricted isometry property (g…
Parallel Multi-Block ADMM with o(1/k) Convergence
Wei Deng, Ming-Jun Lai, Zhimin Peng +1
This paper introduces a parallel and distributed extension to the alternating direction method of multipliers (ADMM) for solving convex problem: minimize su…