269 citations · 461 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
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…