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Low-rank Matrix Completion using Alternating Minimization

Low-rank Matrix Completion using Alternating Minimization

3 December 2012
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
ArXiv (abs)PDFHTML

Papers citing "Low-rank Matrix Completion using Alternating Minimization"

50 / 407 papers shown
Title
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace
  Estimation From Undersampled Data
Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data
Dejiao Zhang
Laura Balzano
26
13
0
01 Oct 2016
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
323
93
0
19 Sep 2016
Tensor Completion by Alternating Minimization under the Tensor Train
  (TT) Model
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model
Wenqi Wang
Vaneet Aggarwal
Shuchin Aeron
45
46
0
19 Sep 2016
Tensor Graphical Model: Non-convex Optimization and Statistical
  Inference
Tensor Graphical Model: Non-convex Optimization and Statistical Inference
Xiang Lyu
W. Sun
Zhaoran Wang
Han Liu
Jian Yang
Guang Cheng
CML
55
0
0
15 Sep 2016
Low-rank Bandits with Latent Mixtures
Low-rank Bandits with Latent Mixtures
Aditya Gopalan
Odalric-Ambrym Maillard
Mohammadi Zaki
127
28
0
06 Sep 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li
Yining Wang
Aarti Singh
Yevgeniy Vorobeychik
AAML
97
346
0
29 Aug 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine
  and Rank-One Matrix Sensing
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing
Ming Lin
Jieping Ye
78
22
0
21 Aug 2016
Solving a Mixture of Many Random Linear Equations by Tensor
  Decomposition and Alternating Minimization
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization
Xinyang Yi
Constantine Caramanis
Sujay Sanghavi
82
60
0
19 Aug 2016
Adaptive confidence sets for matrix completion
Adaptive confidence sets for matrix completion
Alexandra Carpentier
Olga Klopp
Matthias Loffler
Richard Nickl
70
27
0
17 Aug 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
103
25
0
15 Aug 2016
Beating level-set methods for 3D seismic data interpolation: a
  primal-dual alternating approach
Beating level-set methods for 3D seismic data interpolation: a primal-dual alternating approach
Rajiv Kumar
Oscar Lopez
Damek Davis
Aleksandr Aravkin
Felix J. Herrmann
46
4
0
09 Jul 2016
Alternating Estimation for Structured High-Dimensional Multi-Response
  Models
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Sheng Chen
A. Banerjee
59
14
0
29 Jun 2016
Discovery of Latent Factors in High-dimensional Data Using Tensor
  Methods
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
Furong Huang
64
6
0
10 Jun 2016
Finding Low-Rank Solutions via Non-Convex Matrix Factorization,
  Efficiently and Provably
Finding Low-Rank Solutions via Non-Convex Matrix Factorization, Efficiently and Provably
Dohyung Park
Anastasios Kyrillidis
Constantine Caramanis
Sujay Sanghavi
67
56
0
10 Jun 2016
Expectile Matrix Factorization for Skewed Data Analysis
Expectile Matrix Factorization for Skewed Data Analysis
Rui Zhu
Di Niu
Linglong Kong
Zongpeng Li
16
4
0
07 Jun 2016
Provable Burer-Monteiro factorization for a class of norm-constrained
  matrix problems
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems
Dohyung Park
Anastasios Kyrillidis
Srinadh Bhojanapalli
Constantine Caramanis
Sujay Sanghavi
152
22
0
04 Jun 2016
High Dimensional Multivariate Regression and Precision Matrix Estimation
  via Nonconvex Optimization
High Dimensional Multivariate Regression and Precision Matrix Estimation via Nonconvex Optimization
Jinghui Chen
Quanquan Gu
48
0
0
02 Jun 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
Constantine Caramanis
111
267
0
25 May 2016
Matrix Completion has No Spurious Local Minimum
Matrix Completion has No Spurious Local Minimum
Rong Ge
Jason D. Lee
Tengyu Ma
147
599
0
24 May 2016
Global Optimality of Local Search for Low Rank Matrix Recovery
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli
Behnam Neyshabur
Nathan Srebro
ODL
135
388
0
23 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
102
160
0
23 May 2016
Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero
Low-Rank Matrix Recovery using Gabidulin Codes in Characteristic Zero
Sven Müelich
Sven Puchinger
M. Bossert
AI4CE
33
8
0
15 Apr 2016
Sweep Distortion Removal from THz Images via Blind Demodulation
Sweep Distortion Removal from THz Images via Blind Demodulation
Alireza Aghasi
B. Heshmat
A. Redo-Sanchez
Justin Romberg
Ramesh Raskar
37
8
0
29 Mar 2016
Spectral M-estimation with Applications to Hidden Markov Models
Spectral M-estimation with Applications to Hidden Markov Models
Dustin Tran
Minjae Kim
Finale Doshi-Velez
95
5
0
29 Mar 2016
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Median-Truncated Nonconvex Approach for Phase Retrieval with Outliers
Huishuai Zhang
Yuejie Chi
Yingbin Liang
87
57
0
11 Mar 2016
Distributed Multi-Task Learning with Shared Representation
Distributed Multi-Task Learning with Shared Representation
Jialei Wang
Mladen Kolar
Nathan Srebro
53
22
0
07 Mar 2016
A Geometric Analysis of Phase Retrieval
A Geometric Analysis of Phase Retrieval
Ju Sun
Qing Qu
John N. Wright
144
526
0
22 Feb 2016
Pursuits in Structured Non-Convex Matrix Factorizations
Pursuits in Structured Non-Convex Matrix Factorizations
Rajiv Khanna
Michael Tschannen
Martin Jaggi
61
1
0
12 Feb 2016
Community Recovery in Graphs with Locality
Community Recovery in Graphs with Locality
Yuxin Chen
G. Kamath
Changho Suh
David Tse
112
31
0
11 Feb 2016
Recovery guarantee of weighted low-rank approximation via alternating
  minimization
Recovery guarantee of weighted low-rank approximation via alternating minimization
Yuanzhi Li
Yingyu Liang
Andrej Risteski
166
47
0
06 Feb 2016
A Note on Alternating Minimization Algorithm for the Matrix Completion
  Problem
A Note on Alternating Minimization Algorithm for the Matrix Completion Problem
D. Gamarnik
Sidhant Misra
79
18
0
05 Feb 2016
Greedy Deep Dictionary Learning
Greedy Deep Dictionary Learning
Snigdha Tariyal
A. Majumdar
Richa Singh
Mayank Vatsa
68
21
0
31 Jan 2016
Similarity Learning via Adaptive Regression and Its Application to Image
  Retrieval
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval
Qi Qian
Inci M. Baytas
Rong Jin
Anil K. Jain
Shenghuo Zhu
32
1
0
06 Dec 2015
Regularized EM Algorithms: A Unified Framework and Statistical
  Guarantees
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi
Constantine Caramanis
72
81
0
27 Nov 2015
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian
  Trust-region Method
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method
Ju Sun
Qing Qu
John N. Wright
113
147
0
15 Nov 2015
Complete Dictionary Recovery over the Sphere I: Overview and the
  Geometric Picture
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture
Ju Sun
Qing Qu
John N. Wright
132
159
0
11 Nov 2015
When Are Nonconvex Problems Not Scary?
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
148
166
0
21 Oct 2015
Revealed Preference at Scale: Learning Personalized Preferences from
  Assortment Choices
Revealed Preference at Scale: Learning Personalized Preferences from Assortment Choices
Nathan Kallus
Madeleine Udell
59
11
0
17 Sep 2015
Exponential Family Matrix Completion under Structural Constraints
Exponential Family Matrix Completion under Structural Constraints
Suriya Gunasekar
Pradeep Ravikumar
Joydeep Ghosh
79
40
0
15 Sep 2015
Dropping Convexity for Faster Semi-definite Optimization
Dropping Convexity for Faster Semi-definite Optimization
Srinadh Bhojanapalli
Anastasios Kyrillidis
Sujay Sanghavi
103
173
0
14 Sep 2015
Fast low-rank estimation by projected gradient descent: General
  statistical and algorithmic guarantees
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Yudong Chen
Martin J. Wainwright
305
318
0
10 Sep 2015
Adaptive Sampling of RF Fingerprints for Fine-grained Indoor
  Localization
Adaptive Sampling of RF Fingerprints for Fine-grained Indoor Localization
Xiao-Yang Liu
Shuchin Aeron
Vaneet Aggarwal
Xiaodong Wang
Minyou Wu
78
95
0
10 Aug 2015
Global Convergence of a Grassmannian Gradient Descent Algorithm for
  Subspace Estimation
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Dejiao Zhang
Laura Balzano
82
62
0
24 Jun 2015
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Taming the Wild: A Unified Analysis of Hogwild!-Style Algorithms
Christopher De Sa
Ce Zhang
K. Olukotun
Christopher Ré
109
204
0
22 Jun 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and
  Semidefinite Programming from Random Linear Measurements
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng
John D. Lafferty
149
186
0
19 Jun 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank
  Estimation
Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade
Florent Krzakala
Lenka Zdeborová
118
16
0
10 Jun 2015
Symmetric Tensor Completion from Multilinear Entries and Learning
  Product Mixtures over the Hypercube
Symmetric Tensor Completion from Multilinear Entries and Learning Product Mixtures over the Hypercube
T. Schramm
Benjamin Weitz
52
7
0
09 Jun 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
Randomized Robust Subspace Recovery for High Dimensional Data Matrices
M. Rahmani
George Atia
96
57
0
21 May 2015
Solving Random Quadratic Systems of Equations Is Nearly as Easy as
  Solving Linear Systems
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen
Emmanuel J. Candes
134
591
0
19 May 2015
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
Huan Gui
Quanquan Gu
149
28
0
18 May 2015
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