Sensitivity of low-rank matrix recovery
From MaRDI portal
Publication:2100520
DOI10.1007/s00211-022-01327-7zbMath1505.65175arXiv2103.00531OpenAlexW3135513863MaRDI QIDQ2100520
Paul Breiding, Nick Vannieuwenhoven
Publication date: 22 November 2022
Published in: Numerische Mathematik (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.00531
Factorization of matrices (15A23) Numerical computation of matrix norms, conditioning, scaling (65F35) Numerical solutions to inverse eigenvalue problems (65F18) Matrix completion problems (15A83)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions
- A mathematical introduction to compressive sensing
- Theory of semidefinite programming for sensor network localization
- Convex multi-task feature learning
- Random projections of smooth manifolds
- The geometry of graphs and some of its algorithmic applications
- Optimization and dynamical systems
- Perturbation expansions and error bounds for the truncated singular value decomposition
- Intrinsic volumes of symmetric cones and applications in convex programming
- New estimates for the recursive low-rank truncation of block-structured matrices
- Condition
- Low-Rank Matrix Completion by Riemannian Optimization
- Introduction to Smooth Manifolds
- Low-Rank Matrix Approximations Do Not Need a Singular Value Gap
- COMPLEXITY AND REAL COMPUTATION: A MANIFESTO
- Introduction to Riemannian Manifolds
- Structured Compressed Sensing: From Theory to Applications
- Video Deraining and Desnowing Using Temporal Correlation and Low-Rank Matrix Completion
- The Gap between Theory and Practice in Function Approximation with Deep Neural Networks
- Matrix Rigidity and the Ill-Posedness of Robust PCA and Matrix Completion
- A Geometric Approach to Dynamical Model Order Reduction
- Riemannian Geometry
- An Extrinsic Look at the Riemannian Hessian
- Stable signal recovery from incomplete and inaccurate measurements
- A Theory of Condition
- Some remarks on the measurability of certain sets
- The Condition Number of Riemannian Approximation Problems
- Compressed sensing
- Algebraic compressed sensing
This page was built for publication: Sensitivity of low-rank matrix recovery