198 citations · 480 across the 36 of their papers we have counts for
4 papers · 1 filter
Global Convergence of ADMM in Nonconvex Nonsmooth Optimization
Yu Wang, Wotao Yin, Jinshan Zeng
In this paper, we analyze the convergence of the alternating direction method of multipliers (ADMM) for minimizing a nonconvex and possibly nonsmooth objective function, $ϕ(x_0,\ld…
ExtraPush for convex smooth decentralized optimization over directed networks
Jinshan Zeng, Wotao Yin
In this note, we extend the algorithms Extra and subgradient-push to a new algorithm ExtraPush for consensus optimization with convex differentiable objective functions over a dire…
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…
Model selection of polynomial kernel regression
Shaobo Lin, Xingping Sun, Zongben Xu +1
Polynomial kernel regression is one of the standard and state-of-the-art learning strategies. However, as is well known, the choices of the degree of polynomial kernel and the regu…