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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
ArXivPDFHTML

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

50 / 403 papers shown
Title
Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent
  Noise
Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise
Namrata Vaswani
Praneeth Narayanamurthy
14
21
0
19 Sep 2017
Subspace Clustering using Ensembles of $K$-Subspaces
Subspace Clustering using Ensembles of KKK-Subspaces
J. Lipor
David Hong
Dejiao Zhang
Laura Balzano
30
24
0
14 Sep 2017
Community Recovery in Hypergraphs
Community Recovery in Hypergraphs
Kwangjun Ahn
Kangwook Lee
Changho Suh
16
33
0
12 Sep 2017
Optimal prediction in the linearly transformed spiked model
Optimal prediction in the linearly transformed spiked model
Edgar Dobriban
W. Leeb
A. Singer
27
20
0
07 Sep 2017
Estimation of a Low-rank Topic-Based Model for Information Cascades
Estimation of a Low-rank Topic-Based Model for Information Cascades
Ming Yu
Varun Gupta
Mladen Kolar
30
7
0
06 Sep 2017
Low Permutation-rank Matrices: Structural Properties and Noisy
  Completion
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
Nihar B. Shah
Sivaraman Balakrishnan
Martin J. Wainwright
24
18
0
01 Sep 2017
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
Fundamental Limits of Weak Recovery with Applications to Phase Retrieval
Marco Mondelli
Andrea Montanari
25
118
0
20 Aug 2017
Sentiment Analysis by Joint Learning of Word Embeddings and Classifier
Sentiment Analysis by Joint Learning of Word Embeddings and Classifier
P. Sarma
Bill Sethares
12
2
0
14 Aug 2017
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian
  Prior Models
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
Linxiao Yang
Jun Fang
Huiping Duan
Hongbin Li
B. Zeng
27
54
0
08 Aug 2017
Robust PCA by Manifold Optimization
Robust PCA by Manifold Optimization
Teng Zhang
Yi Yang
32
45
0
01 Aug 2017
Efficient Low Rank Tensor Ring Completion
Efficient Low Rank Tensor Ring Completion
Wenqi Wang
Vaneet Aggarwal
Shuchin Aeron
13
178
0
23 Jul 2017
Accelerated Stochastic Power Iteration
Accelerated Stochastic Power Iteration
Christopher De Sa
Bryan D. He
Ioannis Mitliagkas
Christopher Ré
Peng Xu
35
89
0
10 Jul 2017
Rank Determination for Low-Rank Data Completion
Rank Determination for Low-Rank Data Completion
Morteza Ashraphijuo
Xiaodong Wang
Vaneet Aggarwal
33
21
0
03 Jul 2017
Recovery Guarantees for One-hidden-layer Neural Networks
Recovery Guarantees for One-hidden-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Peter L. Bartlett
Inderjit S. Dhillon
MLT
25
336
0
10 Jun 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
15
22
0
13 May 2017
Matrix completion with queries
Matrix completion with queries
Natali Ruchansky
M. Crovella
Evimaria Terzi
20
30
0
01 May 2017
Matrix Completion and Related Problems via Strong Duality
Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan
Yingyu Liang
David P. Woodruff
Hongyang R. Zhang
27
8
0
27 Apr 2017
Learning from Comparisons and Choices
Learning from Comparisons and Choices
S. Negahban
Sewoong Oh
K. K. Thekumparampil
Jiaming Xu
10
39
0
24 Apr 2017
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and
  Hardness
Spectrum Approximation Beyond Fast Matrix Multiplication: Algorithms and Hardness
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
Shashanka Ubaru
David P. Woodruff
8
36
0
13 Apr 2017
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices
Cameron Musco
David P. Woodruff
11
57
0
11 Apr 2017
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic
  Factor
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
Swayambhoo Jain
Alexander Gutierrez
Jarvis Haupt
19
4
0
08 Apr 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
38
433
0
03 Apr 2017
Algebraic Variety Models for High-Rank Matrix Completion
Algebraic Variety Models for High-Rank Matrix Completion
Greg Ongie
Rebecca Willett
Robert D. Nowak
Laura Balzano
28
56
0
28 Mar 2017
Characterization of Deterministic and Probabilistic Sampling Patterns
  for Finite Completability of Low Tensor-Train Rank Tensor
Characterization of Deterministic and Probabilistic Sampling Patterns for Finite Completability of Low Tensor-Train Rank Tensor
Morteza Ashraphijuo
Xiaodong Wang
16
12
0
22 Mar 2017
Spectrum Estimation from a Few Entries
Spectrum Estimation from a Few Entries
A. Khetan
Sewoong Oh
15
8
0
18 Mar 2017
On Approximation Guarantees for Greedy Low Rank Optimization
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna
Ethan R. Elenberg
A. Dimakis
S. Negahban
16
24
0
08 Mar 2017
Leveraging Sparsity for Efficient Submodular Data Summarization
Leveraging Sparsity for Efficient Submodular Data Summarization
Erik M. Lindgren
Shanshan Wu
A. Dimakis
16
24
0
08 Mar 2017
Introduction to Nonnegative Matrix Factorization
Introduction to Nonnegative Matrix Factorization
Nicolas Gillis
19
46
0
02 Mar 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via
  Nonconvex Optimizations
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations
Pan Xu
Jian Ma
Quanquan Gu
CML
18
22
0
28 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
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal
  Storage
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
A. Yurtsever
Madeleine Udell
J. Tropp
V. Cevher
17
97
0
22 Feb 2017
A Unified Framework for Low-Rank plus Sparse Matrix Recovery
A Unified Framework for Low-Rank plus Sparse Matrix Recovery
Xiao Zhang
Lingxiao Wang
Quanquan Gu
14
10
0
21 Feb 2017
Phase Transitions of Spectral Initialization for High-Dimensional
  Nonconvex Estimation
Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation
Yue M. Lu
Gen Li
23
89
0
21 Feb 2017
Exact tensor completion with sum-of-squares
Exact tensor completion with sum-of-squares
Aaron Potechin
David Steurer
11
80
0
21 Feb 2017
Matrix Completion from $O(n)$ Samples in Linear Time
Matrix Completion from O(n)O(n)O(n) Samples in Linear Time
D. Gamarnik
Quan Li
Hongyi Zhang
29
22
0
08 Feb 2017
A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank
  Matrix Recovery
A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery
Lingxiao Wang
Xiao Zhang
Quanquan Gu
27
11
0
09 Jan 2017
Deterministic and Probabilistic Conditions for Finite Completability of
  Low-rank Multi-View Data
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data
Morteza Ashraphijuo
Xiaodong Wang
Vaneet Aggarwal
69
11
0
03 Jan 2017
Stochastic Variance-reduced Gradient Descent for Low-rank Matrix
  Recovery from Linear Measurements
Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements
Xiao Zhang
Lingxiao Wang
Quanquan Gu
20
6
0
02 Jan 2017
Deterministic and Probabilistic Conditions for Finite Completability of
  Low-Tucker-Rank Tensor
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor
Morteza Ashraphijuo
Vaneet Aggarwal
Xiaodong Wang
16
20
0
06 Dec 2016
Dynamic matrix recovery from incomplete observations under an exact
  low-rank constraint
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
Liangbei Xu
Mark A. Davenport
15
26
0
28 Oct 2016
Homotopy Analysis for Tensor PCA
Homotopy Analysis for Tensor PCA
Anima Anandkumar
Yuan-bei Deng
Rong Ge
H. Mobahi
30
43
0
28 Oct 2016
Dynamic Assortment Personalization in High Dimensions
Dynamic Assortment Personalization in High Dimensions
Nathan Kallus
Madeleine Udell
29
66
0
18 Oct 2016
A Unified Computational and Statistical Framework for Nonconvex Low-Rank
  Matrix Estimation
A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation
Lingxiao Wang
Xiao Zhang
Quanquan Gu
16
80
0
17 Oct 2016
Convergence rate of stochastic k-means
Convergence rate of stochastic k-means
Cheng Tang
C. Monteleoni
21
26
0
16 Oct 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
Low-tubal-rank Tensor Completion using Alternating Minimization
Low-tubal-rank Tensor Completion using Alternating Minimization
Xiao-Yang Liu
Shuchin Aeron
Vaneet Aggarwal
Xiaodong Wang
14
119
0
05 Oct 2016
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
14
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
40
92
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
14
44
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
18
0
0
15 Sep 2016
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