3 citations · 3 across the 4 of their papers we have counts for
9 papers
Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers
Jianchao Bai, Yuxue Ma, Hao Sun +1
In this paper, we consider a prototypical convex optimization problem with multi-block variables and separable structures. By adding the Logarithmic Quadratic Proximal (LQP) regula…
An Inexact Accelerated Stochastic ADMM for Separable Convex Optimization
Jianchao Bai, William W. Hager, Hongchao Zhang
An inexact accelerated stochastic Alternating Direction Method of Multipliers (AS-ADMM) scheme is developed for solving structured separable convex optimization problems with linea…
A family of multi-parameterized proximal point algorithms
Jianchao Bai, Ke Guo, Xiaokai Chang
In this paper, a multi-parameterized proximal point algorithm combining with a relaxation step is developed for solving convex minimization problem subject to linear constraints. W…
Accelerated Symmetric ADMM and Its Applications in Signal Processing
Jianchao Bai, Junli Liang, Ke Guo +1
The alternating direction method of multipliers (ADMM) were extensively investigated in the past decades for solving separable convex optimization problems. Fewer researchers focus…
Convergence Revisit on Generalized Symmetric ADMM
Jianchao Bai, Xiaokai Chang, Jicheng Li +1
In this note, we show a sublinear nonergodic convergence rate for the algorithm developed in [Bai, et al. Generalized symmetric ADMM for separable convex optimization. Comput. Opti…
Generalized Symmetric ADMM for Separable Convex Optimization
Jianchao Bai, Jicheng Li, Fengmin Xu +1
The Alternating Direction Method of Multipliers (ADMM) has been proved to be effective for solving separable convex optimization subject to linear constraints. In this paper, we pr…