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2020 – today
- 2024
[j49]Yizhou Chen
, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran:
Primal residual reduction with extended position based dynamics and hyperelasticity. Comput. Graph. 119: 103902 (2024)- [j48]Chao Zhang, Xiaojun Chen, Shiqian Ma:
A Riemannian Smoothing Steepest Descent Method for Non-Lipschitz Optimization on Embedded Submanifolds of Rn. Math. Oper. Res. 49(3): 1710-1733 (2024) - [j47]Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Zeroth-Order Riemannian Averaging Stochastic Approximation Algorithms. SIAM J. Optim. 34(4): 3314-3341 (2024) - [j46]Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang:
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. SIAM Rev. 66(2): 319-352 (2024) - [j45]Zhong Zheng, Shiqian Ma, Lingzhou Xue:
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval. IEEE Trans. Signal Process. 72: 1081-1093 (2024) - [c23]Ivan Lau, Shiqian Ma, César A. Uribe:
Decentralized and Equitable Optimal Transport. ACC 2024: 1-6 - [i39]Jiaxiang Li, Xuxing Chen, Shiqian Ma, Mingyi Hong:
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization. CoRR abs/2402.08821 (2024) - [i38]Ivan Lau, Shiqian Ma, César A. Uribe:
Decentralized and Equitable Optimal Transport. CoRR abs/2403.04259 (2024) - [i37]Yifan Yang, Hao Ban, Minhui Huang, Shiqian Ma, Kaiyi Ji:
Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis. CoRR abs/2410.05140 (2024) - [i36]Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling:
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. CoRR abs/2410.13743 (2024) - [i35]Xiaoyu Wang, Xuxing Chen, Shiqian Ma, Tong Zhang:
Fully First-Order Methods for Decentralized Bilevel Optimization. CoRR abs/2410.19319 (2024) - 2023
- [j44]Wenjing Li, Nan Zhang, Zhu Liu, Shiqian Ma, Huaqiang Ke, Jinfa Wang, Ting Chen:
MLfus: A real-time forecasting architecture for low communication costs in electricity IoT based on ensemble learning. IET Commun. 17(2): 145-161 (2023) - [j43]Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn:
Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities. J. Glob. Optim. 87(2): 709-740 (2023) - [j42]Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Stochastic Zeroth-Order Riemannian Derivative Estimation and Optimization. Math. Oper. Res. 48(2): 1183-1211 (2023) - [c22]Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian:
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity. ICML 2023: 4641-4671 - [c21]Yizhou Chen, Yushan Han, Jingyu Chen, Shiqian Ma, Ronald Fedkiw, Joseph Teran:
Primal Extended Position Based Dynamics for Hyperelasticity. MIG 2023: 21:1-21:10 - [i34]Zhong Zheng, Shiqian Ma, Lingzhou Xue:
A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval. CoRR abs/2304.12522 (2023) - [i33]Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms. CoRR abs/2309.14506 (2023) - [i32]Youran Dong, Shiqian Ma, Junfeng Yang, Chao Yin:
A Single-Loop Algorithm for Decentralized Bilevel Optimization. CoRR abs/2311.08945 (2023) - 2022
- [j41]Chaoxu Mu, Ke Wang, Shiqian Ma, Zhiqiang Chong, Zhen Ni:
Adaptive composite frequency control of power systems using reinforcement learning. CAAI Trans. Intell. Technol. 7(4): 671-684 (2022) - [j40]Yakun Shi, Chaoxu Mu, Yi Hao, Shiqian Ma, Na Xu, Zhiqiang Chong:
Day-ahead optimal dispatching of hybrid power system based on deep reinforcement learning. Cogn. Comput. Syst. 4(4): 351-361 (2022) - [j39]Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao:
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. 4(2): 200-214 (2022) - [j38]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. J. Mach. Learn. Res. 23: 106:1-106:33 (2022) - [i31]Minhui Huang, Kaiyi Ji, Shiqian Ma, Lifeng Lai:
Efficiently Escaping Saddle Points in Bilevel Optimization. CoRR abs/2202.03684 (2022) - [i30]Jiaxiang Li, Shiqian Ma:
Federated Learning on Riemannian Manifolds. CoRR abs/2206.05668 (2022) - [i29]Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian:
Decentralized Stochastic Bilevel Optimization with Improved Per-Iteration Complexity. CoRR abs/2210.12839 (2022) - [i28]Jiaxiang Li, Shiqian Ma, Tejes Srivastava:
A Riemannian ADMM. CoRR abs/2211.02163 (2022) - 2021
- [j37]Tianyi Lin, Shiqian Ma, Yinyu Ye, Shuzhong Zhang:
An ADMM-based interior-point method for large-scale linear programming. Optim. Methods Softw. 36(2-3): 389-424 (2021) - [j36]Minhui Huang, Shiqian Ma, Lifeng Lai:
Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. IEEE Trans. Signal Process. 69: 2639-2652 (2021) - [j35]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. 69: 4759-4773 (2021) - [c20]Minhui Huang, Shiqian Ma, Lifeng Lai:
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. ICML 2021: 4446-4455 - [c19]Minhui Huang, Shiqian Ma, Lifeng Lai:
Projection Robust Wasserstein Barycenters. ICML 2021: 4456-4465 - [c18]Chengyun Deng, Shiqian Ma, Yongtao Sha, Yi Zhang, Hui Zhang, Hui Song, Fei Wang:
Robust Speaker Extraction Network Based on Iterative Refined Adaptation. Interspeech 2021: 3530-3534 - [i27]Minhui Huang, Shiqian Ma, Lifeng Lai:
Projection Robust Wasserstein Barycenters. CoRR abs/2102.03390 (2021) - [i26]Chao Zhang, Xiaojun Chen, Shiqian Ma:
A Riemannian smoothing steepest descent method for non-Lipschitz optimization on submanifolds. CoRR abs/2104.04199 (2021) - [i25]Minhui Huang, Shiqian Ma, Lifeng Lai:
On the Convergence of Projected Alternating Maximization for Equitable and Optimal Transport. CoRR abs/2109.15030 (2021) - 2020
- [j34]Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou:
An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis. INFORMS J. Optim. 2(3): 192-208 (2020) - [j33]Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo:
A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization. Math. Oper. Res. 45(3): 833-861 (2020) - [j32]Junyu Zhang, Shiqian Ma, Shuzhong Zhang:
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis. Math. Program. 184(1): 445-490 (2020) - [j31]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated dual-averaging primal-dual method for composite convex minimization. Optim. Methods Softw. 35(4): 741-766 (2020) - [j30]Shixiang Chen, Shiqian Ma, Anthony Man-Cho So, Tong Zhang:
Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold. SIAM J. Optim. 30(1): 210-239 (2020) - [c17]Chengyun Deng, Yi Zhang, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li:
Conv-TasSAN: Separative Adversarial Network Based on Conv-TasNet. INTERSPEECH 2020: 2647-2651 - [c16]Yi Zhang, Chengyun Deng, Shiqian Ma, Yongtao Sha, Hui Song, Xiangang Li:
Generative Adversarial Network Based Acoustic Echo Cancellation. INTERSPEECH 2020: 3945-3949 - [i24]Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang:
Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization. CoRR abs/2001.05537 (2020) - [i23]Zhongruo Wang, Krishnakumar Balasubramanian, Shiqian Ma, Meisam Razaviyayn:
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. CoRR abs/2001.07819 (2020) - [i22]Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma:
Zeroth-order Optimization on Riemannian Manifolds. CoRR abs/2003.11238 (2020) - [i21]Bokun Wang, Shiqian Ma, Lingzhou Xue:
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold. CoRR abs/2005.01209 (2020) - [i20]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR abs/2005.02356 (2020) - [i19]Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao:
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR abs/2007.09524 (2020) - [i18]Minhui Huang, Shiqian Ma, Lifeng Lai:
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method. CoRR abs/2008.07740 (2020) - [i17]Minhui Huang, Shiqian Ma, Lifeng Lai:
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance. CoRR abs/2012.05199 (2020)
2010 – 2019
- 2019
- [j29]Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis. Comput. Optim. Appl. 72(1): 115-157 (2019) - [j28]Ya-Feng Liu, Xin Liu, Shiqian Ma:
On the Nonergodic Convergence Rate of an Inexact Augmented Lagrangian Framework for Composite Convex Programming. Math. Oper. Res. 44(2): 632-650 (2019) - [j27]Yanglin Zhou, Lin Cheng, Song Ci, Yang Yang, Shiqian Ma:
A User-Oriented Pricing Design for Demand Response in Smart Grid. Wirel. Commun. Mob. Comput. 2019: 8694016:1-8694016:12 (2019) - [c15]Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So:
Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC 2019: 259-263 - [c14]Peidong Xu, Jun Zhang, Zhou Fang, Xudong Wang, Guodong Li, Shiqian Ma:
Software-in-the-Loop Planning of Fast Charging Station based on GNN-Accelerated Ordinal Optimization. SOLI 2019: 224-229 - [i16]Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hui Zou:
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA. CoRR abs/1903.11576 (2019) - 2018
- [j26]Qiang Wang, Xiaojing Yang, Zhigang Huang, Shiqian Ma, Qiao Li, David Wenzhong Gao, Fei-Yue Wang:
A novel design framework for smart operating robot in power system. IEEE CAA J. Autom. Sinica 5(2): 531-538 (2018) - [j25]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. J. Sci. Comput. 76(1): 69-88 (2018) - [j24]Bo Jiang, Shiqian Ma, Shuzhong Zhang:
Low-M-Rank Tensor Completion and Robust Tensor PCA. IEEE J. Sel. Top. Signal Process. 12(6): 1390-1404 (2018) - [j23]Shiqian Ma, Necdet Serhat Aybat:
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. Proc. IEEE 106(8): 1411-1426 (2018) - [j22]Necdet Serhat Aybat, Zi Wang, Tianyi Lin, Shiqian Ma:
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization. IEEE Trans. Autom. Control. 63(1): 5-20 (2018) - [j21]Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou:
ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics 60(3): 319-331 (2018) - [c13]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. NeurIPS 2018: 8376-8385 - [i15]Jason L. Causey, Junyu Zhang, Shiqian Ma, Bo Jiang, Jake A. Qualls, David G. Politte, Fred W. Prior, Shuzhong Zhang, Xiuzhen Huang:
Highly accurate model for prediction of lung nodule malignancy with CT scans. CoRR abs/1802.01756 (2018) - [i14]Shiqian Ma, Necdet Serhat Aybat:
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants. CoRR abs/1806.03430 (2018) - [i13]Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu:
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity. CoRR abs/1811.01182 (2018) - 2017
- [j20]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
An Extragradient-Based Alternating Direction Method for Convex Minimization. Found. Comput. Math. 17(1): 35-59 (2017) - [j19]Xiao Wang, Shiqian Ma, Ya-Xiang Yuan:
Penalty methods with stochastic approximation for stochastic nonlinear programming. Math. Comput. 86(306): 1793-1820 (2017) - [j18]Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu:
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. SIAM J. Optim. 27(2): 927-956 (2017) - [c12]Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma:
Adaptive Proximal Average Approximation for Composite Convex Minimization. AAAI 2017: 2513-2519 - [c11]Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma:
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. ICML 2017: 3125-3134 - [c10]Shixiang Chen, Shiqian Ma, Wei Liu:
Geometric Descent Method for Convex Composite Minimization. NIPS 2017: 636-644 - 2016
- [j17]Shiqian Ma:
Alternating Proximal Gradient Method for Convex Minimization. J. Sci. Comput. 68(2): 546-572 (2016) - [j16]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Iteration Complexity Analysis of Multi-block ADMM for a Family of Convex Minimization Without Strong Convexity. J. Sci. Comput. 69(1): 52-81 (2016) - [j15]Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang:
A smoothing SQP framework for a class of composite Lq minimization over polyhedron. Math. Program. 158(1-2): 467-500 (2016) - [c9]Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian:
Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS 2016: 685-693 - [p1]Shiqian Ma, Bo Jiang, Xiuzhen Huang, Shuzhong Zhang:
Tensor models: solution methods and applications. Big Data over Networks 2016: 3-36 - [i12]Bo Jiang, Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis. CoRR abs/1605.02408 (2016) - [i11]Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian:
Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR abs/1605.04131 (2016) - [i10]Xiao Wang, Shiqian Ma, Donald Goldfarb, Wei Liu:
Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization. CoRR abs/1607.01231 (2016) - [i9]Shixiang Chen, Shiqian Ma:
Geometric descent method for convex composite minimization. CoRR abs/1612.09034 (2016) - 2015
- [j14]Bo Jiang, Shiqian Ma, Shuzhong Zhang:
Tensor principal component analysis via convex optimization. Math. Program. 150(2): 423-457 (2015) - [j13]Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma:
An alternating direction method for total variation denoising. Optim. Methods Softw. 30(3): 594-615 (2015) - [j12]Caihua Chen, Raymond H. Chan, Shiqian Ma, Junfeng Yang:
Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization. SIAM J. Imaging Sci. 8(4): 2239-2267 (2015) - [j11]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
On the Global Linear Convergence of the ADMM with MultiBlock Variables. SIAM J. Optim. 25(3): 1478-1497 (2015) - [j10]Caihua Chen, Shiqian Ma, Junfeng Yang:
A General Inertial Proximal Point Algorithm for Mixed Variational Inequality Problem. SIAM J. Optim. 25(4): 2120-2142 (2015) - [j9]Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma:
Joint Power and Admission Control: Non-Convex Lq Approximation and An Effective Polynomial Time Deflation Approach. IEEE Trans. Signal Process. 63(14): 3641-3656 (2015) - [c8]Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. Smith, Shih-Fu Chang:
Low-Rank Similarity Metric Learning in High Dimensions. AAAI 2015: 2792-2799 - [c7]Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng:
Sparse Subspace Clustering for Incomplete Images. ICCV Workshops 2015: 859-867 - [i8]Tianyi Lin, Shiqian Ma, Shuzhong Zhang:
Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems. CoRR abs/1505.04252 (2015) - 2014
- [j8]Necdet Serhat Aybat, Donald Goldfarb, Shiqian Ma:
Efficient algorithms for robust and stable principal component pursuit problems. Comput. Optim. Appl. 58(1): 1-29 (2014) - [c6]Weiwei Shen, Jun Wang, Shiqian Ma:
Doubly Regularized Portfolio with Risk Minimization. AAAI 2014: 1286-1292 - [c5]Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo:
A block coordinate descent method of multipliers: Convergence analysis and applications. ICASSP 2014: 7689-7693 - 2013
- [j7]Bo Huang, Shiqian Ma, Donald Goldfarb:
Accelerated Linearized Bregman Method. J. Sci. Comput. 54(2-3): 428-453 (2013) - [j6]Donald Goldfarb, Shiqian Ma, Katya Scheinberg:
Fast alternating linearization methods for minimizing the sum of two convex functions. Math. Program. 141(1-2): 349-382 (2013) - [j5]Shiqian Ma, Lingzhou Xue, Hui Zou:
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection. Neural Comput. 25(8): 2172-2198 (2013) - [i7]Xiangfeng Wang, Mingyi Hong, Shiqian Ma, Zhi-Quan Luo:
Solving Multiple-Block Separable Convex Minimization Problems Using Two-Block Alternating Direction Method of Multipliers. CoRR abs/1308.5294 (2013) - [i6]Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma:
Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach. CoRR abs/1311.3045 (2013) - 2012
- [j4]Donald Goldfarb, Shiqian Ma:
Fast Multiple-Splitting Algorithms for Convex Optimization. SIAM J. Optim. 22(2): 533-556 (2012) - 2011
- [j3]Donald Goldfarb, Shiqian Ma:
Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization. Found. Comput. Math. 11(2): 183-210 (2011) - [j2]Shiqian Ma, Donald Goldfarb, Lifeng Chen:
Fixed point and Bregman iterative methods for matrix rank minimization. Math. Program. 128(1-2): 321-353 (2011) - [i5]Bo Huang, Shiqian Ma, Donald Goldfarb:
Accelerated Linearized Bregman Method. CoRR abs/1106.5413 (2011) - 2010
- [c4]Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, Peng Liu:
Semi-supervised sparse metric learning using alternating linearization optimization. KDD 2010: 1139-1148 - [c3]Katya Scheinberg, Shiqian Ma, Donald Goldfarb:
Sparse Inverse Covariance Selection via Alternating Linearization Methods. NIPS 2010: 2101-2109 - [i4]Katya Scheinberg, Shiqian Ma, Donald Goldfarb:
Sparse Inverse Covariance Selection via Alternating Linearization Methods. CoRR abs/1011.0097 (2010)
2000 – 2009
- 2009
- [j1]Yanfei Wang, Shiqian Ma:
A fast subspace method for image deblurring. Appl. Math. Comput. 215(6): 2359-2377 (2009) - [c2]Donald Goldfarb, Shiqian Ma, Zaiwen Wen:
Solving low-rank matrix completion problems efficiently. Allerton 2009: 1013-1020 - [i3]Shiqian Ma, Donald Goldfarb, Lifeng Chen:
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization. CoRR abs/0905.1643 (2009) - [i2]Donald Goldfarb, Shiqian Ma:
Convergence of fixed point continuation algorithms for matrix rank minimization. CoRR abs/0906.3499 (2009) - [i1]Donald Goldfarb, Shiqian Ma, Katya Scheinberg:
Fast Alternating Linearization Methods for Minimizing the Sum of Two Convex Functions. CoRR abs/0912.4571 (2009) - 2008
- [c1]Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty:
An efficient algorithm for compressed MR imaging using total variation and wavelets. CVPR 2008
Coauthor Index
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