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Matrix Completion from a Few Entries

Matrix Completion from a Few Entries

20 January 2009
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
ArXivPDFHTML

Papers citing "Matrix Completion from a Few Entries"

50 / 166 papers shown
Title
Asymptotic Convergence Rate of Alternating Minimization for Rank One
  Matrix Completion
Asymptotic Convergence Rate of Alternating Minimization for Rank One Matrix Completion
Rui Liu
Alexander Olshevsky
20
0
0
11 Aug 2020
Uncertainty quantification for nonconvex tensor completion: Confidence
  intervals, heteroscedasticity and optimality
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai
H. Vincent Poor
Yuxin Chen
18
23
0
15 Jun 2020
Detection thresholds in very sparse matrix completion
Detection thresholds in very sparse matrix completion
C. Bordenave
Simon Coste
R. Nadakuditi
27
25
0
12 May 2020
High-Dimensional Robust Mean Estimation via Gradient Descent
High-Dimensional Robust Mean Estimation via Gradient Descent
Yu Cheng
Ilias Diakonikolas
Rong Ge
Mahdi Soltanolkotabi
17
31
0
04 May 2020
Online high rank matrix completion
Online high rank matrix completion
Jicong Fan
Madeleine Udell
OffRL
29
34
0
20 Feb 2020
Community Detection on Mixture Multi-layer Networks via Regularized
  Tensor Decomposition
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition
Bing-Yi Jing
Ting Li
Zhongyuan Lyu
Dong Xia
40
64
0
10 Feb 2020
Rank $2r$ iterative least squares: efficient recovery of ill-conditioned
  low rank matrices from few entries
Rank 2r2r2r iterative least squares: efficient recovery of ill-conditioned low rank matrices from few entries
Jonathan Bauch
B. Nadler
Pini Zilber
37
14
0
05 Feb 2020
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating
  Decreasing Paths to Infinity
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity
Shiyu Liang
Ruoyu Sun
R. Srikant
37
19
0
31 Dec 2019
Weighted matrix completion from non-random, non-uniform sampling
  patterns
Weighted matrix completion from non-random, non-uniform sampling patterns
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
22
27
0
30 Oct 2019
Missing Not at Random in Matrix Completion: The Effectiveness of
  Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
Wei-Ying Ma
George H. Chen
23
49
0
28 Oct 2019
Deterministic tensor completion with hypergraph expanders
Deterministic tensor completion with hypergraph expanders
K. Harris
Yizhe Zhu
36
11
0
23 Oct 2019
Approximate matrix completion based on cavity method
Approximate matrix completion based on cavity method
Chihiro Noguchi
Y. Kabashima
22
1
0
29 Jun 2019
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical
  Estimation
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek Ghosh
A. Pananjady
Adityanand Guntuboyina
Kannan Ramchandran
28
25
0
21 Jun 2019
On the convex geometry of blind deconvolution and matrix completion
On the convex geometry of blind deconvolution and matrix completion
Felix Krahmer
Dominik Stöger
21
18
0
28 Feb 2019
On Robustness of Principal Component Regression
On Robustness of Principal Component Regression
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
31
81
0
28 Feb 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex
  Relaxation via Nonconvex Optimization
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
Yuling Yan
20
128
0
20 Feb 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local
  Minima in Nonconvex Matrix Recovery
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery
Richard Y. Zhang
Somayeh Sojoudi
Javad Lavaei
11
51
0
07 Jan 2019
Interpretable Matrix Completion: A Discrete Optimization Approach
Interpretable Matrix Completion: A Discrete Optimization Approach
Dimitris Bertsimas
M. Li
18
7
0
17 Dec 2018
Rank-one matrix estimation: analysis of algorithmic and information
  theoretic limits by the spatial coupling method
Rank-one matrix estimation: analysis of algorithmic and information theoretic limits by the spatial coupling method
Jean Barbier
M. Dia
N. Macris
Florent Krzakala
Lenka Zdeborová
36
24
0
06 Dec 2018
Learning Two Layer Rectified Neural Networks in Polynomial Time
Learning Two Layer Rectified Neural Networks in Polynomial Time
Ainesh Bakshi
Rajesh Jayaram
David P. Woodruff
NoLa
21
69
0
05 Nov 2018
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
Ashkan Esmaeili
F. Marvasti
MQ
13
30
0
29 Oct 2018
Missing Value Imputation Based on Deep Generative Models
Missing Value Imputation Based on Deep Generative Models
Hongbao Zhang
P. Xie
Eric Xing
DiffM
24
20
0
05 Aug 2018
Ranking Recovery from Limited Comparisons using Low-Rank Matrix
  Completion
Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion
Tal Levy
Alireza Vahid
Raja Giryes
21
1
0
14 Jun 2018
Streaming PCA and Subspace Tracking: The Missing Data Case
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
13
84
0
12 Jun 2018
Causal Inference with Noisy and Missing Covariates via Matrix
  Factorization
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus
Xiaojie Mao
Madeleine Udell
CML
14
62
0
03 Jun 2018
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Hypergraph Spectral Clustering in the Weighted Stochastic Block Model
Kwangjun Ahn
Kangwook Lee
Changho Suh
27
62
0
23 May 2018
A Nonconvex Projection Method for Robust PCA
A Nonconvex Projection Method for Robust PCA
Aritra Dutta
Filip Hanzely
Peter Richtárik
20
24
0
21 May 2018
k-Space Deep Learning for Accelerated MRI
k-Space Deep Learning for Accelerated MRI
Yoseob Han
Leonard Sunwoo
J. C. Ye
43
188
0
10 May 2018
Equivalent Lipschitz surrogates for zero-norm and rank optimization
  problems
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems
Yulan Liu
Shujun Bi
S. Pan
35
29
0
30 Apr 2018
Learning tensors from partial binary measurements
Learning tensors from partial binary measurements
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
MQ
17
35
0
31 Mar 2018
Smoothed analysis for low-rank solutions to semidefinite programs in
  quadratic penalty form
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Srinadh Bhojanapalli
Nicolas Boumal
Prateek Jain
Praneeth Netrapalli
29
44
0
01 Mar 2018
Active Feature Acquisition with Supervised Matrix Completion
Active Feature Acquisition with Supervised Matrix Completion
Sheng-Jun Huang
Miao Xu
Ming-Kun Xie
Masashi Sugiyama
Gang Niu
Songcan Chen
37
47
0
15 Feb 2018
Adaptive Estimation of Noise Variance and Matrix Estimation via USVT
  Algorithm
Adaptive Estimation of Noise Variance and Matrix Estimation via USVT Algorithm
Mona Azadkia
21
2
0
28 Jan 2018
Differentially Private Matrix Completion Revisited
Differentially Private Matrix Completion Revisited
Prateek Jain
Om Thakkar
Abhradeep Thakurta
FedML
26
34
0
28 Dec 2017
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
33
479
0
21 Dec 2017
Blind Gain and Phase Calibration via Sparse Spectral Methods
Blind Gain and Phase Calibration via Sparse Spectral Methods
Yanjun Li
Kiryung Lee
Y. Bresler
27
27
0
30 Nov 2017
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via
  Median-Truncated Gradient Descent
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent
Yuanxin Li
Yuejie Chi
Huishuai Zhang
Yingbin Liang
24
29
0
23 Sep 2017
Solving Almost all Systems of Random Quadratic Equations
Solving Almost all Systems of Random Quadratic Equations
G. Wang
G. Giannakis
Y. Saad
Jie Chen
34
25
0
29 May 2017
Exponential error rates of SDP for block models: Beyond Grothendieck's
  inequality
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality
Yingjie Fei
Yudong Chen
35
35
0
23 May 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression
  for Latent Variable Model
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model
Yihua Li
Devavrat Shah
Dogyoon Song
Chao Yu
17
22
0
13 May 2017
Matrix completion with queries
Matrix completion with queries
Natali Ruchansky
M. Crovella
Evimaria Terzi
23
30
0
01 May 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified
  Geometric Analysis
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge
Chi Jin
Yi Zheng
56
434
0
03 Apr 2017
Adaptive estimation of the sparsity in the Gaussian vector model
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier
Nicolas Verzélen
23
29
0
01 Mar 2017
On Polynomial Time Methods for Exact Low Rank Tensor Completion
On Polynomial Time Methods for Exact Low Rank Tensor Completion
Dong Xia
M. Yuan
25
76
0
22 Feb 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation
  Problems
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
S. Du
Yining Wang
Aarti Singh
27
16
0
22 Feb 2017
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex
  Matrix Factorization
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li
Junwei Lu
R. Arora
Jarvis Haupt
Han Liu
Zhaoran Wang
T. Zhao
43
52
0
29 Dec 2016
Spectral Inference Methods on Sparse Graphs: Theory and Applications
Spectral Inference Methods on Sparse Graphs: Theory and Applications
Alaa Saade
21
6
0
14 Oct 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are
  Correlated
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata Vaswani
Han Guo
28
25
0
15 Aug 2016
Matrix Completion has No Spurious Local Minimum
Matrix Completion has No Spurious Local Minimum
Rong Ge
Jason D. Lee
Tengyu Ma
27
596
0
24 May 2016
Convergence Analysis for Rectangular Matrix Completion Using
  Burer-Monteiro Factorization and Gradient Descent
Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent
Qinqing Zheng
John D. Lafferty
34
160
0
23 May 2016
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