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Xiaoming Yuan
Xiaoming Yuan
Verified email at hku.hk
Title
Cited by
Cited by
Year
On the Convergence Rate of the Douglas–Rachford Alternating Direction Method
B He, X Yuan
SIAM Journal on Numerical Analysis 50 (2), 700-709, 2012
10632012
The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent
C Chen, B He, Y Ye, X Yuan
Mathematical Programming 155 (1), 57-79, 2016
7672016
Recovering low-rank and sparse components of matrices from incomplete and noisy observations
M Tao, X Yuan
SIAM Journal on Optimization 21 (1), 57-81, 2011
5112011
Linearized augmented Lagrangian and alternating direction methods for nuclear norm minimization
J Yang, X Yuan
Mathematics of computation 82 (281), 301-329, 2013
4952013
Sparse and low-rank matrix decomposition via alternating direction methods
X Yuan, J Yang
Pacific Journal of Optimization 9 (1), 167-180, 2013
483*2013
Alternating direction method with Gaussian back substitution for separable convex programming
B He, M Tao, X Yuan
SIAM Journal on Optimization 22 (2), 313-340, 2012
4312012
Convergence analysis of primal-dual algorithms for a saddle-point problem: from contraction perspective
B He, X Yuan
SIAM Journal on Imaging Sciences 5 (1), 119-149, 2012
4212012
On non-ergodic convergence rate of Douglas–Rachford alternating direction method of multipliers
B He, X Yuan
Numerische Mathematik 130 (3), 567-577, 2015
3482015
Solving constrained total-variation image restoration and reconstruction problems via alternating direction methods
MK Ng, P Weiss, X Yuan
SIAM journal on Scientific Computing 32 (5), 2710-2736, 2010
3422010
A note on the alternating direction method of multipliers
D Han, X Yuan
Journal of Optimization Theory and Applications 155, 227-238, 2012
2562012
Matrix completion via an alternating direction method
C Chen, B He, X Yuan
IMA Journal of Numerical Analysis 32 (1), 227-245, 2012
2312012
Adaptive primal-dual splitting methods for statistical learning and image processing
T Goldstein, M Li, X Yuan
Advances in neural information processing systems 28, 2015
220*2015
Constrained total variation deblurring models and fast algorithms based on alternating direction method of multipliers
RH Chan, M Tao, X Yuan
SIAM Journal on imaging Sciences 6 (1), 680-697, 2013
2202013
A strictly contractive peaceman--rachford splitting method for convex programming
B He, H Liu, Z Wang, X Yuan
SIAM Journal on Optimization 24 (3), 1011-1040, 2014
1892014
Alternating direction method for covariance selection models
X Yuan
Journal of Scientific Computing 51, 261-273, 2012
157*2012
A splitting method for separable convex programming
B He, M Tao, X Yuan
IMA Journal of Numerical Analysis 35 (1), 394-426, 2015
148*2015
An approximate proximal-extragradient type method for monotone variational inequalities
B He, Z Yang, X Yuan
Journal of Mathematical Analysis and Applications 300 (2), 362-374, 2004
1472004
On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function
X Cai, D Han, X Yuan
Computational Optimization and Applications 66, 39-73, 2017
135*2017
On full Jacobian decomposition of the augmented Lagrangian method for separable convex programming
B He, L Hou, X Yuan
SIAM Journal on Optimization 25 (4), 2274-2312, 2015
1282015
The linearized alternating direction method of multipliers for Dantzig selector
X Wang, X Yuan
SIAM Journal on Scientific Computing 34 (5), A2792-A2811, 2012
1242012
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