| Fixed point and Bregman iterative methods for matrix rank minimization S Ma, D Goldfarb, L Chen Mathematical Programming 128 (1), 321-353, 2011 | 1250 | 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 | 492 | 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 | 327 | 2013 |
| Sparse inverse covariance selection via alternating linearization methods K Scheinberg, S Ma, D Goldfarb Advances in neural information processing systems 23, 2010 | 256 | 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 | 243 | 2016 |
| 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 | 233 | 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), 9286, 2018 | 226 | 2018 |
| 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 | 214 | 2015 |
| 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 | 204 | 2012 |
| 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 | 197 | 2015 |
| Proximal gradient method for nonsmooth optimization over the Stiefel manifold S Chen, S Ma, A Man-Cho So, T Zhang SIAM Journal on Optimization 30 (1), 210-239, 2020 | 179 | 2020 |
| Convergence of fixed-point continuation algorithms for matrix rank minimization D Goldfarb, S Ma Foundations of Computational Mathematics 11 (2), 183-210, 2011 | 177 | 2011 |
| 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 | 169 | 2019 |
| 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 | 162 | 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, 251-274, 2015 | 141* | 2015 |
| Alternating direction methods for latent variable Gaussian graphical model selection S Ma, L Xue, H Zou Neural computation 25 (8), 2172-2198, 2013 | 137 | 2013 |
| Fast multiple-splitting algorithms for convex optimization D Goldfarb, S Ma SIAM Journal on Optimization 22 (2), 533-556, 2012 | 131 | 2012 |
| ADMM for high-dimensional sparse penalized quantile regression Y Gu, J Fan, L Kong, S Ma, H Zou Technometrics 60 (3), 319-331, 2018 | 127 | 2018 |
| 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 | 117 | 2015 |
| 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 | 103 | 2020 |
Donald GoldfarbColumbia University在 columbia.edu 的电子邮件经过验证
