Code and Data Deposition for: The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising
Abstract/Contents
- Abstract
This Deposition contains the data and code underlying the paper
"The Phase Transition of Matrix Recovery from Gaussian
Measurements Matches the Minimax MSE of Matrix Denoising"
By David Donoho , Matan Gavish, and Andrea Montanari,
In press, PNAS 2013.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | 2013 |
Creators/Contributors
| Author | Donoho, David |
|---|---|
| Author | Gavish, Matan |
Subjects
| Subject | Compressed Sensing |
|---|---|
| Subject | Matrix Completion |
| Subject | Nuclear Norm Minimization |
| Genre | Dataset |
Bibliographic information
| Related Publication | Donoho, David L., Matan Gavish, and Andrea Montanari. "The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising." Proceedings of the National Academy of Sciences 110.21 (2013): 8405-8410, doi: 10.1073/pnas.1306110110. Available at http://www.pnas.org/content/110/21/8405. |
|---|---|
| Related item | |
| Location | https://purl.stanford.edu/tz124hw0000 |
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Share Alike 3.0 Unported license (CC BY-SA).
Preferred citation
- Preferred Citation
Donoho, David L., and Gavish, Matan (2013). Code and Data Deposition for:
The Phase Transition of Matrix Recovery from Gaussian
Measurements Matches the Minimax MSE of Matrix Denoising.
Stanford Digital Repository, Available at http://purl.stanford.edu/tz124hw0000
Collection
Stanford Research Data
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- Contact
- donoho@stanford.edu
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