Nuclear Norm and Matrix Recovery
- A. Ben-Tal and A. Nemirovski.
"Solving large scale polynomial convex problems on \ell_1/nuclear norm balls by randomized first-order algorithms",
Preprint, Faculty of Industrial Engineering and Management, Technion, October 2012.
- Z. Luo, J. Tao and N. Xiu.
"Lowest-rank Solutions of Continuous and Discrete Lyapunov Equations over Symmetric Cone",
Preprint, Department of Mathematics and Statistics, Loyola University Marylan, October 2012.
- G. Tang, B. N. Bhaskar, P. Shah and B. Recht.
"Compressed Sensing Off the Grid",
Preprint, University of Wisconsin Madison, September 2012.
- S. Bi and S. Pan.
"Approximation of rank function and its application to the nearest low-rank correlation matrix",
Department of Mathematics, South China University of Technology, Guangzhou City, China, July 10, 2011 .
- L. Kong, L. Tuncel and N. Xiu.
"Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery",
Reseach report, Department of Applied Mathematics, Beijing Jiaotong University, Beijing 100044, P.R. China, June 2011.
- B. Recht and C. Re.
"Parallel Stochastic Gradient Algorithms for Large-Scale Matrix Completion",
Computer Sciences Department, University of Wisconsin-Madison, April 2011.
- Y.-B. Zhao.
"Approximation Theory of Matrix Rank Minimization and Its Application to Quadratic Equations",
School of Mathematics, University of Birmingham, January 2011.
- V. Chandrasekaran, B. Recht, P. A. Parrilo, and Alan S. Willsky.
"The Convex Geometry of Linear Inverse Problems",
LIDS technical report 2857, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, December 2010.
- X. V. Doan and S. A. Vavasis.
"Finding approximately rank-one submatrices with the nuclear norm and l1 norm",
Department of Combinatorics and Optimization, University of Waterloo, November 2010.
- S. Becker, E. Candés, and M, Grant.
"Templates for Convex Cone Problems with Applications to Sparse Signal Recovery",
Applied and Computational Mathematics, Caltech, September 2010.
- M. Jaggi and M. Sulovský.
"A simple Algorithm for Nuclear Norm Regularized Problems",
ICML 2010: Proceedings of the 27th International Conference on Machine Learning, Juni 2010.
- Z. Wen, W. Yin and Y. Zhang.
"Solving A Low-Rank Factorization Model for Matrix Completion by A Nonlinear Successive Over-Relaxation Algorithm",
Technical Report TR10-07, Rice University, March 2010.
- J. Yang and X. Yuan.
"An Inexact Alternating Direction Method for Trace Norm Regularized Least Squares Problem",
Department of Mathematics, Nanjing University, February 2010.
- M. Tao and X. Yuan.
"Recovering low-rank and sparse components of matrices from incomplete and noisy observations",
Department of Mathematics, Nanjing University, December 2009.
- B. Recht.
"A Simpler Approach to Matrix Completion",
University of Wisconsin-Madison, October 2009.
- X. Yuan and J. Yang.
"Sparse and Low-Rank Matrix Decomposition Via Alternating Direction Methods",
Department of Mathematics, Hong Kong Baptist University, October 2009.
- X. Yuan.
"Alternating Direction Methods for Sparse Covariance Selection",
Department of Mathematics, Hong Kong Baptist University, September 2009.
- Y.-J. Liu, D. Sun and K.-C. Toh.
"An Implementable Proximal Point Algorithmic Framework for Nuclear Norm Minimization",
National University of Singapore, July, 2009.
- V. Chandrasekaran, S. Sanghavi, P. A. Parrilo and A. S. Willsky.
"Rank-Sparsity Incoherence for Matrix Decomposition",
Laboratory for Information and Decision Systems, Department of Electrical Enginneering and Computer Science, MIT, Cambridge, June 2009.
- D. Goldfarb and S. Ma.
"Convergence of fixed point continuation algorithms for matrix rank minimization",
Technical Report, Department of IEOR, Columbia University, June 2009.
- K.-C. Toh and S. Yun.
"An accelerated proximal gradient algorithm for nuclear norm regularized least squares problems",
Preprint, Department of Mathematics, National University of Singapore, March 2009.
- S. Ma, D. Goldfarb and L. Chen.
"Fixed point and Bregman iterative methods for matrix rank minimization",
Technical Report, Department of IEOR, Columbia University, October, 2008.
- B. Recht, M. Fazel and P. A. Parrilo.
"Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization",
Technical Report, Center for the Mathematics of Information, California Institute of Technology, 2007.
Last modified: Fri Sep 9 15:12:47 CEST 2011