DocumentCode
3247745
Title
Optimal denoising of simultaneously sparse and low rank matrices in high dimensions
Author
Buja, Andreas ; Zongming Ma ; Dan Yang
Author_Institution
Dept. of Stat., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear
2013
fDate
2-4 Oct. 2013
Firstpage
445
Lastpage
447
Abstract
We study minimax rates for denoising simultaneously sparse and low rank matrices in high dimensions. An algorithm is shown to achieve (near) optimal rates of convergence adaptively under mild conditions.
Keywords
sparse matrices; low rank matrices; optimal denoising; sparse matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4799-3409-6
Type
conf
DOI
10.1109/Allerton.2013.6736558
Filename
6736558
Link To Document