Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
Published 2011 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
Authors
Keywords
-
Journal
SIAM REVIEW
Volume 53, Issue 2, Pages 217-288
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Online
2011-05-06
DOI
10.1137/090771806
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A randomized algorithm for the decomposition of matrices
- (2010) Per-Gunnar Martinsson et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- Randomized Kaczmarz solver for noisy linear systems
- (2010) Deanna Needell BIT NUMERICAL MATHEMATICS
- The Power of Convex Relaxation: Near-Optimal Matrix Completion
- (2010) Emmanuel J. Candes et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- (2010) Benjamin Recht et al. SIAM REVIEW
- Exact Matrix Completion via Convex Optimization
- (2009) Emmanuel J. Candès et al. FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
- Random projections for the nonnegative least-squares problem
- (2009) Christos Boutsidis et al. LINEAR ALGEBRA AND ITS APPLICATIONS
- CUR matrix decompositions for improved data analysis
- (2009) Michael W. Mahoney et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Sampling Algorithms and Coresets for $\ell_p$ Regression
- (2009) Anirban Dasgupta et al. SIAM JOURNAL ON COMPUTING
- A Randomized Algorithm for Principal Component Analysis
- (2009) Vladimir Rokhlin et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
- On selecting a maximum volume sub-matrix of a matrix and related problems
- (2009) Ali Çivril et al. THEORETICAL COMPUTER SCIENCE
- A Randomized Kaczmarz Algorithm with Exponential Convergence
- (2008) Thomas Strohmer et al. JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS
- Low-dimensional embedding of fMRI datasets
- (2008) Xilin Shen et al. NEUROIMAGE
- A fast randomized algorithm for overdetermined linear least-squares regression
- (2008) V. Rokhlin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Relative-Error $CUR$ Matrix Decompositions
- (2008) Petros Drineas et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
- A fast randomized algorithm for the approximation of matrices
- (2007) Franco Woolfe et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- On the conditioning of random subdictionaries
- (2007) Joel A. Tropp APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- Less is More: Sparse Graph Mining with Compact Matrix Decomposition
- (2007) Jimeng Sun et al. Statistical Analysis and Data Mining
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started