Shiqian Ma
Shiqian Ma
Associate Professor of Mathematics, UC Davis
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Fixed point and Bregman iterative methods for matrix rank minimization
S Ma, D Goldfarb, L Chen
Mathematical Programming 128 (1-2), 321-353, 2011
An efficient algorithm for compressed MR imaging using total variation and wavelets
S Ma, W Yin, Y Zhang, A Chakraborty
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Fast alternating linearization methods for minimizing the sum of two convex functions
D Goldfarb, S Ma, K Scheinberg
Mathematical Programming 141 (1-2), 349-382, 2013
Sparse inverse covariance selection via alternating linearization methods
K Scheinberg, S Ma, D Goldfarb
Advances in neural information processing systems, 2101-2109, 2010
Convergence of fixed-point continuation algorithms for matrix rank minimization
D Goldfarb, S Ma
Foundations of Computational Mathematics 11 (2), 183-210, 2011
Positive-definite ℓ1-penalized estimation of large covariance matrices
L Xue, S Ma, H Zou
Journal of the American Statistical Association 107 (500), 1480-1491, 2012
On the global linear convergence of the ADMM with multiblock variables
T Lin, S Ma, S Zhang
SIAM Journal on Optimization 25 (3), 1478-1497, 2015
Fast multiple-splitting algorithms for convex optimization
D Goldfarb, S Ma
SIAM Journal on Optimization 22 (2), 533-556, 2012
Alternating direction methods for latent variable Gaussian graphical model selection
S Ma, L Xue, H Zou
Neural computation 25 (8), 2172-2198, 2013
Barzilai-borwein step size for stochastic gradient descent
C Tan, S Ma, YH Dai, Y Qian
Advances in Neural Information Processing Systems, 685-693, 2016
Inertial proximal ADMM for linearly constrained separable convex optimization
C Chen, RH Chan, S Ma, J Yang
SIAM Journal on Imaging Sciences 8 (4), 2239-2267, 2015
Stochastic quasi-Newton methods for nonconvex stochastic optimization
X Wang, S Ma, D Goldfarb, W Liu
SIAM Journal on Optimization 27 (2), 927-956, 2017
On the sublinear convergence rate of multi-block ADMM
TY Lin, SQ Ma, SZ Zhang
Journal of the Operations Research Society of China 3 (3), 251-274, 2015
Solving multiple-block separable convex minimization problems using two-block alternating direction method of multipliers
X Wang, M Hong, S Ma, ZQ Luo
Pacific Journal of Optimization 11 (4), 645-667, 2013
Distributed linearized alternating direction method of multipliers for composite convex consensus optimization
NS Aybat, Z Wang, T Lin, S Ma
IEEE Transactions on Automatic Control 63 (1), 5-20, 2017
Highly accurate model for prediction of lung nodule malignancy with CT scans
JL Causey, J Zhang, S Ma, B Jiang, JA Qualls, DG Politte, F Prior, ...
Scientific reports 8 (1), 1-12, 2018
Semi-supervised sparse metric learning using alternating linearization optimization
W Liu, S Ma, D Tao, J Liu, P Liu
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization
M Hong, TH Chang, X Wang, M Razaviyayn, S Ma, ZQ Luo
Mathematics of Operations Research, 2020
Alternating proximal gradient method for convex minimization
S Ma
Journal of Scientific Computing 68 (2), 546-572, 2016
Projected Barzilai–Borwein method for large-scale nonnegative image restoration
Y Wang, S Ma
Inverse Problems in Science and Engineering 15 (6), 559-583, 2007
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