Shiqian Ma

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Donald GoldfarbColumbia UniversityVerified email at columbia.edu
Shuzhong ZhangProfessor of Industrial and Systems Engineering, University of MinnesotaVerified email at umn.edu
Tianyi LinUniversity of California, BerkeleyVerified email at berkeley.edu
Wei LiuTencentVerified email at ee.columbia.edu
Katya ScheinbergCornell UniversityVerified email at cornell.edu
Lingzhou XueAssociate Professor of Statistics, The Pennsylvania State UniversityVerified email at psu.edu
Yu-Hong Daichinese academy of sciencesVerified email at lsec.cc.ac.cn
Shixiang ChenJD Explore AcademyVerified email at jd.com
Hui ZouUniversity of MinnesotaVerified email at umn.edu
Junfeng YangNanjing UniversityVerified email at nju.edu.cn
Wotao YinDamo Academy, Alibaba Group USVerified email at alibaba-inc.com
Amit ChakrabortyHead, Predictive Analytics, Siemens Corporation, Corporate TechnologyVerified email at siemens.com
Conghui TanTencentVerified email at tencent.com
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
Mingyi HongAssociate Professor, University of MinnesotaVerified email at umn.edu
Meisam RazaviyaynUniversity of Southern CaliforniaVerified email at usc.edu
Anthony Man-Cho SoDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Ya-Feng Liu (刘亚锋)Associate Professor of Academy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at lsec.cc.ac.cn
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Necdet Serhat AybatIndustrial Engineering, Penn State UniversityVerified email at psu.edu

Shiqian Ma

Associate Professor of Mathematics, UC Davis

Verified email at math.ucdavis.edu - Homepage

Optimization Machine Learning Data Science Operations Research


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Fixed point and Bregman iterative methods for matrix rank minimization S Ma, D Goldfarb, L Chen Mathematical Programming 128 (1), 321-353, 2011	1093	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	436	2008
Fast alternating linearization methods for minimizing the sum of two convex functions D Goldfarb, S Ma, K Scheinberg Mathematical Programming 141 (1), 349-382, 2013	290	2013
Sparse inverse covariance selection via alternating linearization methods K Scheinberg, S Ma, D Goldfarb Advances in neural information processing systems 23, 2010	229	2010
Barzilai-borwein step size for stochastic gradient descent C Tan, S Ma, YH Dai, Y Qian Advances in neural information processing systems 29, 2016	159	2016
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	158	2015
Convergence of fixed-point continuation algorithms for matrix rank minimization D Goldfarb, S Ma Foundations of Computational Mathematics 11 (2), 183-210, 2011	155	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	146	2012
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	143	2018
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	139	2017
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	129*	2015
Alternating direction methods for latent variable Gaussian graphical model selection S Ma, L Xue, H Zou Neural computation 25 (8), 2172-2198, 2013	121	2013
Fast multiple-splitting algorithms for convex optimization D Goldfarb, S Ma SIAM Journal on Optimization 22 (2), 533-556, 2012	121	2012
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	112*	2015
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	108	2017
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis B Jiang, T Lin, S Ma, S Zhang Computational Optimization and Applications 72 (1), 115-157, 2019	104	2019
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 45 (3), 833-861, 2020	86	2020
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	86	2013
Alternating proximal gradient method for convex minimization S Ma Journal of Scientific Computing 68 (2), 546-572, 2016	82	2016
A general inertial proximal point algorithm for mixed variational inequality problem C Chen, S Ma, J Yang SIAM Journal on Optimization 25 (4), 2120-2142, 2015	80*	2015

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