2 citations · 3 across the 4 of their papers we have counts for
4 papers
The neural network models with delays for solving absolute value equations
Dongmei Yu, Gehao Zhang, Cairong Chen +1
An inverse-free neural network model with mixed delays is proposed for solving the absolute value equation (AVE) , which includes an inverse-free neural network mod…
Improving the generalization via coupled tensor norm regularization
Ying Gao, Yunfei Qu, Chunfeng Cui +1
In this paper, we propose a coupled tensor norm regularization that could enable the model output feature and the data input to lie in a low-dimensional manifold, which helps us to…
Understanding the convergence of the preconditioned PDHG method: a view of indefinite proximal ADMM
Yumin Ma, Xingju Cai, Bo Jiang +1
The primal-dual hybrid gradient (PDHG) algorithm is popular in solving min-max problems which are being widely used in a variety of areas. To improve the applicability and efficien…
On pseudoinverse-free randomized methods for linear systems: Unified framework and acceleration
Deren Han, Jiaxin Xie
We present a new framework for the analysis and design of randomized algorithms for solving various types of linear systems, including consistent or inconsistent, full rank or rank…