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Optimal Shrinkage of Singular Values

Optimal Shrinkage of Singular Values

29 May 2014
M. Gavish
D. Donoho
ArXivPDFHTML

Papers citing "Optimal Shrinkage of Singular Values"

16 / 16 papers shown
Title
Gradient Descent as a Shrinkage Operator for Spectral Bias
Gradient Descent as a Shrinkage Operator for Spectral Bias
Simon Lucey
38
0
0
25 Apr 2025
Bayesian Joint Additive Factor Models for Multiview Learning
Bayesian Joint Additive Factor Models for Multiview Learning
Niccolò Anceschi
F. Ferrari
David B. Dunson
Himel Mallick
28
1
0
02 Jun 2024
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
  heteroskedastic PCA
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
Yuchen Zhou
Yuxin Chen
40
4
0
10 Mar 2023
Robust Bayesian Subspace Identification for Small Data Sets
Robust Bayesian Subspace Identification for Small Data Sets
A. R. Mesquita
18
0
0
29 Dec 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
Zhongyuan Lyu
Dong Xia
29
3
0
11 Jul 2022
Recover the spectrum of covariance matrix: a non-asymptotic iterative
  method
Recover the spectrum of covariance matrix: a non-asymptotic iterative method
Juntao Duan
Ionel Popescu
H. Matzinger
15
0
0
01 Jan 2022
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired
  Dictionary-based Sparse Regression Approach
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach
P. Goyal
P. Benner
30
48
0
11 May 2021
ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated
  Noise
ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise
D. Donoho
M. Gavish
Elad Romanov
16
27
0
25 Sep 2020
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Magda Amiridi
Nikos Kargas
N. Sidiropoulos
19
19
0
27 Aug 2020
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Yan Sun
David P. Woodruff
27
28
0
01 May 2020
Bidimensional linked matrix factorization for pan-omics pan-cancer
  analysis
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
E. Lock
Jun Young Park
K. Hoadley
9
20
0
07 Feb 2020
Rapid evaluation of the spectral signal detection threshold and
  Stieltjes transform
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform
W. Leeb
24
7
0
26 Apr 2019
Optimal spectral shrinkage and PCA with heteroscedastic noise
Optimal spectral shrinkage and PCA with heteroscedastic noise
Qiangqiang Wu
Yanjie Liang
22
25
0
06 Nov 2018
Texture variation adaptive image denoising with nonlocal PCA
Texture variation adaptive image denoising with nonlocal PCA
Wenzhao Zhao
Qiegen Liu
Yisong Lv
Binjie Qin
21
24
0
26 Oct 2018
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling
  Strategies
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies
P. Di Lorenzo
P. Banelli
Elvin Isufi
Sergio Barbarossa
G. Leus
24
86
0
12 Sep 2017
Log-Determinant Divergences Revisited: Alpha--Beta and Gamma Log-Det
  Divergences
Log-Determinant Divergences Revisited: Alpha--Beta and Gamma Log-Det Divergences
A. Cichocki
S. Cruces
S. Amari
18
61
0
18 Dec 2014
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