Jianchao Bai

发表

Preconditioned ADMM for a Class of Bilinear Programming Problems

Xiaobo Liang, Jianchao Bai, 2018 .

Accelerated method for optimization over density matrices in quantum state estimation

Fengmin Xu, Jicheng Li, Jianchao Bai, 2018 .

GENERALIZED SYMMETRIC ALTERNATING DIRECTION METHOD FOR SEPARABLE CONVEX PROGRAMMING

Hongchao Zhang, Xu Feng-min, Jianchao Bai, 2016 .

Alternating direction method for a class of bilinear programming problem with its applications ∗

Jicheng Li, Jianchao Bai, Guo Li, 2016 .

New error bounds for linear complementarity problems of S-Nekrasov matrices and B–S-Nekrasov matrices

Jicheng Li, Liqiang Dong, Jianchao Bai, 2019, Comput. Appl. Math..

An inexact accelerated stochastic ADMM for separable convex optimization

W. Hager, Hongchao Zhang, Jianchao Bai, 2020, Computational Optimization and Applications.

CONVERGENCE ANALYSIS OF AN ACCELERATED STOCHASTIC ADMM WITH LARGER STEPSIZES

Hongchao Zhang, Deren Han, Jianchao Bai, 2020 .

CONVERGENCE ANALYSIS OF AN INEXACT ACCELERATED STOCHASTIC ADMM WITH LARGER STEPSIZES

Hongchao Zhang, Deren Han, Jianchao Bai, 2020 .

A One-Parameter Family of Middle Proximal ADMM for Constrained Separable Convex Optimization

Hongchao Zhang, Jianchao Bai, 2018 .

Regularized Closest Approximation of Correlation Matrix

Xiaobo Liang, Jianchao Bai, 2017 .

Optimal linearized symmetric ADMM for multi-block separable convex programming

Sanyang Liu, Xiaokai Chang, Jianchao Bai, 2018 .

N A ] 1 J ul 2 01 9 Accelerated Symmetric ADMM and Its Applications in Signal Processing ∗

Junli Liang, K. Guo, Jianchao Bai, 2019 .

Novel alternating update method for low rank approximation of structured matrices

Jicheng Li, Jianchao Bai, Pingfan Dai, 2017 .

On the generalized low rank approximation of the correlation matrices arising in the asset portfolio

X. Duan, Jianchao Bai, Xinjun Zhang, 2014, 1812.04228.

Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes pdf

Hao Sun, Deren Han, Jianchao Bai, 2021, CSIAM Transactions on Applied Mathematics.

Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter

Sanyang Liu, Dunjiang Song, Xiaokai Chang, 2020, Calcolo.

A family of accelerated inexact augmented Lagrangian methods with applications to image restoration

Jianchao Bai, Yuxue Ma, 2022 .

Generalized symmetric ADMM for separable convex optimization

Hongchao Zhang, Jicheng Li, Jianchao Bai, 2017, Computational Optimization and Applications.

A parameterized proximal point algorithm for separable convex optimization

Hongchao Zhang, Jicheng Li, Jianchao Bai, 2017, Optimization Letters.

A Projected Extrapolated Gradient Method with Larger Step Size for Monotone Variational Inequalities

Xiaokai Chang, Jianchao Bai, Xiaokai Chang, 2021, Journal of Optimization Theory and Applications.

Accelerated Symmetric ADMM and Its Applications in Signal Processing pdf

Yang Jing, Junli Liang, Jianchao Bai, 2019, ArXiv.

Proximal extrapolated gradient methods with prediction and correction for monotone variational inequalities.

Sanyang Liu, Jun Yang, Xiaokai Chang, 2018, 1812.04876.

A New Model for Sparse and Low-Rank Matrix Decomposition

Jianchao Bai, Jicheng Li, Zisheng Liu, 2017 .

A New Insight on Augmented Lagrangian Method with Applications in Machine Learning

Hongchao Zhang, Jianchao Bai, 2022 .

A New Insight on Augmented Lagrangian Method and Its Extensions

Jianchao Bai, 2021, ArXiv.

A New Insight on Balanced Augmented Lagrangian Method∗

Jianchao Bai, 2021 .

A Family of Multi-Parameterized Proximal Point Algorithms

Xiaokai Chang, Jianchao Bai, Ke Guo, 2019, IEEE Access.

A parameterized proximal point algorithm for separable convex optimization

Hongchao Zhang, Jianchao Bai, Jicheng Li, 2018, Optim. Lett..

Accelerated Stochastic Peaceman–Rachford Method for Empirical Risk Minimization

Fengmiao Bian, Jianchao Bai, Xiao-Kai Chang, 2023, Journal of the Operations Research Society of China.

An Inexact ADMM with Proximal-indefinite Term and Larger Stepsize

Jianchao Bai, Yuxue Ma, Hao Sun, 2022, Applied Numerical Mathematics.

Generalized symmetric ADMM for separable convex optimization

Hongchao Zhang, Fengmin Xu, Jianchao Bai, 2017, Computational Optimization and Applications.

Convergence revisit on generalized symmetric ADMM

Fengmin Xu, Xiaokai Chang, Jianchao Bai, 2019, Optimization.

A general preconditioner for linear complementarity problem with an M-matrix

Ping-Fan Dai, Yao-Tang Li, Jianchao Bai, 2017, J. Comput. Appl. Math..

Several variants of the primal-dual hybrid gradient algo-rithm with applications

Jicheng Li, Jianchao Bai, Z. Wu, 2017 .

A class of multilevel structured low-rank approximation arising in material processing

Jianchao Bai, Jicheng Li, Junkai Deng, 2018, Int. J. Comput. Math..

Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers pdf

Hao Sun, Jianchao Bai, Yuxue Ma, 2021, Applied Numerical Mathematics.

A novel method for a class of structured low-rank minimizations with equality constraint

Fengmin Xu, Jianchao Bai, Jicheng Li, 2018, J. Comput. Appl. Math..

A preconditioned two-step modulus-based matrix splitting iteration method for linear complementarity problem

Ping-Fan Dai, Jianchao Bai, Jicheng Li, 2019, Appl. Math. Comput..