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1304.2085
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Minimax risk of matrix denoising by singular value thresholding
8 April 2013
D. Donoho
M. Gavish
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Papers citing
"Minimax risk of matrix denoising by singular value thresholding"
10 / 10 papers shown
Title
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba
Emanuele Troiani
Luca Biggio
Antoine Maillard
Lenka Zdeborová
139
1
0
24 Oct 2024
The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising
D. Donoho
M. Gavish
Andrea Montanari
68
64
0
10 Feb 2013
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
Emmanuel J. Candes
Carlos A. Sing Long
J. Trzasko
77
220
0
15 Oct 2012
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising
D. Donoho
Iain M. Johnstone
Andrea Montanari
119
179
0
04 Nov 2011
New Null Space Results and Recovery Thresholds for Matrix Rank Minimization
Samet Oymak
B. Hassibi
83
100
0
29 Nov 2010
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
172
663
0
29 Nov 2010
Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise
A. Shabalin
A. Nobel
109
161
0
23 Jul 2010
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
219
382
0
29 Dec 2009
Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization
Benjamin Recht
Weiyu Xu
B. Hassibi
100
145
0
07 Sep 2008
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
305
3,762
0
28 Jun 2007
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