Convex relaxation algorithm for a structured simultaneous low-rank and sparse recovery problem
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Publication:888314
DOI10.1007/s40305-015-0089-8zbMath1327.90206OpenAlexW1198001218MaRDI QIDQ888314
Publication date: 30 October 2015
Published in: Journal of the Operations Research Society of China (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40305-015-0089-8
Convex programming (90C25) Applications of mathematical programming (90C90) Nonlinear programming (90C30)
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- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- Noisy matrix decomposition via convex relaxation: optimal rates in high dimensions
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- Fast global convergence of gradient methods for high-dimensional statistical recovery
- Sparse and low-rank covariance matrix estimation
- Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices
- Provable Subspace Clustering: When LRR Meets SSC
- A Fast Majorize–Minimize Algorithm for the Recovery of Sparse and Low-Rank Matrices
- Proximité et dualité dans un espace hilbertien
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