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Rank penalized estimators for high-dimensional matrices
v1v2 (latest)

Rank penalized estimators for high-dimensional matrices

7 April 2011
Olga Klopp
ArXiv (abs)PDFHTML

Papers citing "Rank penalized estimators for high-dimensional matrices"

31 / 31 papers shown
Low solution rank of the matrix LASSO under RIP with consequences for
  rank-constrained algorithms
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
Andrew D. McRae
210
2
0
19 Apr 2024
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time SamplesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
C. Kümmerle
Mauro Maggioni
Sui Tang
145
1
0
01 Dec 2022
Noisy Tensor Completion via Low-rank Tensor Ring
Noisy Tensor Completion via Low-rank Tensor RingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yuning Qiu
Guoxu Zhou
Qibin Zhao
Shengli Xie
163
56
0
14 Mar 2022
Learning to Recommend Using Non-Uniform Data
Learning to Recommend Using Non-Uniform Data
W. Chen
Mohsen Bayati
CML
245
1
0
21 Oct 2021
Matrix Decomposition on Graphs: A Functional View
Matrix Decomposition on Graphs: A Functional View
Abhishek Sharma
M. Ovsjanikov
136
3
0
05 Feb 2021
Outlier-robust sparse/low-rank least-squares regression and robust
  matrix completion
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion
Philip Thompson
438
9
0
12 Dec 2020
Partial Trace Regression and Low-Rank Kraus Decomposition
Partial Trace Regression and Low-Rank Kraus Decomposition
Hachem Kadri
Stéphane Ayache
Riikka Huusari
A. Rakotomamonjy
L. Ralaivola
261
5
0
02 Jul 2020
Weighted matrix completion from non-random, non-uniform sampling
  patterns
Weighted matrix completion from non-random, non-uniform sampling patternsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
257
31
0
30 Oct 2019
Low-rank matrix completion and denoising under Poisson noise
Low-rank matrix completion and denoising under Poisson noiseInformation and Inference A Journal of the IMA (JIII), 2019
Andrew D. McRae
Mark A. Davenport
203
21
0
11 Jul 2019
Spectral thresholding for the estimation of Markov chain transition
  operators
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
383
6
0
24 Aug 2018
Confidence Region of Singular Subspaces for Low-rank Matrix Regression
Confidence Region of Singular Subspaces for Low-rank Matrix Regression
Dong Xia
192
0
0
24 May 2018
Rates of Convergence of Spectral Methods for Graphon Estimation
Rates of Convergence of Spectral Methods for Graphon Estimation
Jiaming Xu
289
90
0
10 Sep 2017
Structured Matrix Estimation and Completion
Structured Matrix Estimation and Completion
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
Harrison H. Zhou
337
21
0
07 Jul 2017
Optimal graphon estimation in cut distance
Optimal graphon estimation in cut distance
Olga Klopp
Nicolas Verzélen
266
33
0
15 Mar 2017
Methods for Sparse and Low-Rank Recovery under Simplex Constraints
Methods for Sparse and Low-Rank Recovery under Simplex Constraints
Ping Li
Syama Sundar Rangapuram
M. Slawski
239
19
0
02 May 2016
Optimal large-scale quantum state tomography with Pauli measurements
Optimal large-scale quantum state tomography with Pauli measurements
Tony Cai
Donggyu Kim
Yazhen Wang
M. Yuan
Harrison H. Zhou
103
33
0
24 Mar 2016
Matrix completion by singular value thresholding: sharp bounds
Matrix completion by singular value thresholding: sharp bounds
Olga Klopp
366
44
0
31 Jan 2015
Probabilistic low-rank matrix completion on finite alphabets
Probabilistic low-rank matrix completion on finite alphabetsNeural Information Processing Systems (NeurIPS), 2014
Jean Lafond
Olga Klopp
Eric Moulines
Joseph Salmon
186
38
0
08 Dec 2014
Adaptive Multinomial Matrix Completion
Adaptive Multinomial Matrix Completion
Olga Klopp
Jean Lafond
Eric Moulines
Joseph Salmon
210
40
0
26 Aug 2014
Convex Optimization Learning of Faithful Euclidean Distance
  Representations in Nonlinear Dimensionality Reduction
Convex Optimization Learning of Faithful Euclidean Distance Representations in Nonlinear Dimensionality ReductionMathematical programming (Math. Program.), 2014
Chao Ding
H. Qi
200
24
0
22 Jun 2014
Bayesian matrix completion: prior specification
Bayesian matrix completion: prior specification
Pierre Alquier
V. Cottet
Nicolas Chopin
Judith Rousseau
348
18
0
05 Jun 2014
Asymptotic equivalence of quantum state tomography and noisy matrix
  completion
Asymptotic equivalence of quantum state tomography and noisy matrix completion
Yazhen Wang
222
30
0
20 Nov 2013
Bayesian methods for low-rank matrix estimation: short survey and
  theoretical study
Bayesian methods for low-rank matrix estimation: short survey and theoretical studyInternational Conference on Algorithmic Learning Theory (ALT), 2013
Pierre Alquier
278
37
0
17 Jun 2013
Matrix Completion via Max-Norm Constrained Optimization
Matrix Completion via Max-Norm Constrained Optimization
T. Tony Cai
Wenxin Zhou
343
114
0
02 Mar 2013
Non-asymptotic approach to varying coefficient model
Non-asymptotic approach to varying coefficient model
Olga Klopp
Marianna Pensky
214
1
0
14 Nov 2012
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis
  Coefficients
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis CoefficientsMathematical programming (Math. Program.), 2012
Weimin Miao
S. Pan
Defeng Sun
1.0K
45
0
13 Oct 2012
1-Bit Matrix Completion
1-Bit Matrix Completion
Mark A. Davenport
Y. Plan
E. Berg
Mary Wootters
650
364
0
17 Sep 2012
Rank penalized estimation of a quantum system
Rank penalized estimation of a quantum system
Pierre Alquier
C. Butucea
Mohamed Hebiri
Katia Méziani
Morimae Tomoyuki
355
32
0
08 Jun 2012
Noisy low-rank matrix completion with general sampling distribution
Noisy low-rank matrix completion with general sampling distribution
Olga Klopp
570
215
0
01 Mar 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
904
194
0
12 Jan 2012
High dimensional matrix estimation with unknown variance of the noise
High dimensional matrix estimation with unknown variance of the noise
Olga Klopp
Stéphane Gaïffas
491
20
0
13 Dec 2011
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