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

50 / 403 papers shown
Title
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Yuejie Chi
Yue M. Lu
Yuxin Chen
39
416
0
25 Sep 2018
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Samuel B. Hopkins
18
79
0
19 Sep 2018
Clipped Matrix Completion: A Remedy for Ceiling Effects
Clipped Matrix Completion: A Remedy for Ceiling Effects
Takeshi Teshima
Miao Xu
Issei Sato
Masashi Sugiyama
23
2
0
13 Sep 2018
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and
  Measurement Noise
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
A. Akhriev
Jakub Mareˇcek
Andrea Simonetto
25
8
0
10 Sep 2018
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-Target Prediction: A Unifying View on Problems and Methods
Willem Waegeman
Krzysztof Dembczyñski
Eyke Huellermeier
19
81
0
07 Sep 2018
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via
  Diffusion Processes
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
C. J. Li
Zhaoran Wang
Han Liu
DiffM
25
18
0
29 Aug 2018
Mixture Matrix Completion
Mixture Matrix Completion
Daniel L. Pimentel-Alarcón
18
7
0
02 Aug 2018
Matrix completion and extrapolation via kernel regression
Matrix completion and extrapolation via kernel regression
Pere Giménez-Febrer
A. Pagés-Zamora
G. Giannakis
11
13
0
01 Aug 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
26
71
0
25 Jun 2018
Learning One-hidden-layer ReLU Networks via Gradient Descent
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang
Yaodong Yu
Lingxiao Wang
Quanquan Gu
MLT
28
134
0
20 Jun 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
16
1
0
14 Jun 2018
Matrix Completion and Performance Guarantees for Single Individual
  Haplotyping
Matrix Completion and Performance Guarantees for Single Individual Haplotyping
Somsubhra Barik
H. Vikalo
30
1
0
13 Jun 2018
High Dimensional Data Enrichment: Interpretable, Fast, and
  Data-Efficient
High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient
Amir H. Asiaee
Samet Oymak
K. Coombes
A. Banerjee
FedML
16
9
0
11 Jun 2018
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks
Kai Zhong
Zhao Song
Prateek Jain
Inderjit S. Dhillon
9
6
0
26 May 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Richard Y. Zhang
C. Josz
Somayeh Sojoudi
Javad Lavaei
14
42
0
25 May 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
24
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
Parallel and Distributed Successive Convex Approximation Methods for
  Big-Data Optimization
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
G. Scutari
Ying Sun
35
61
0
17 May 2018
Compact Factorization of Matrices Using Generalized Round-Rank
Compact Factorization of Matrices Using Generalized Round-Rank
Pouya Pezeshkpour
Carlos Guestrin
Sameer Singh
13
2
0
01 May 2018
On Learning Sparsely Used Dictionaries from Incomplete Samples
On Learning Sparsely Used Dictionaries from Incomplete Samples
THANH VAN NGUYEN
Akshay Soni
C. Hegde
28
2
0
24 Apr 2018
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
Learning a Text-Video Embedding from Incomplete and Heterogeneous Data
Antoine Miech
Ivan Laptev
Josef Sivic
22
233
0
07 Apr 2018
Non-Convex Matrix Completion Against a Semi-Random Adversary
Non-Convex Matrix Completion Against a Semi-Random Adversary
Yu Cheng
Rong Ge
AAML
28
24
0
28 Mar 2018
Binary Matrix Completion Using Unobserved Entries
Binary Matrix Completion Using Unobserved Entries
M. Hayashi
Tomoya Sakai
Masashi Sugiyama
21
1
0
13 Mar 2018
Deconvolution with Unknown Error Distribution Interpreted as Blind
  Isotonic Regression
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression
Devavrat Shah
Dogyoon Song
19
0
0
09 Mar 2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge
  Regression
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Michiel Stock
T. Pahikkala
A. Airola
B. De Baets
Willem Waegeman
24
24
0
05 Mar 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase
  Procrustes Flow
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
Xiao Zhang
S. Du
Quanquan Gu
26
24
0
03 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review
Static and Dynamic Robust PCA and Matrix Completion: A Review
Namrata Vaswani
Praneeth Narayanamurthy
22
73
0
01 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
23
42
0
01 Mar 2018
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient
  Descent to Second Order Stationary Solutions
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions
Songtao Lu
Mingyi Hong
Zhengdao Wang
8
4
0
28 Feb 2018
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix
  Estimation
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Yudong Chen
Yuejie Chi
10
170
0
23 Feb 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
29
47
0
15 Feb 2018
Matrix Completion with Nonconvex Regularization: Spectral Operators and
  Scalable Algorithms
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms
Rahul Mazumder
Diego Saldana
Haolei Weng
25
13
0
24 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
Multidimensional Data Tensor Sensing for RF Tomographic Imaging
Multidimensional Data Tensor Sensing for RF Tomographic Imaging
T. Deng
Xiao-Yang Liu
Feng Qian
A. Elwalid
26
1
0
13 Dec 2017
Fast Low-Rank Matrix Estimation without the Condition Number
Fast Low-Rank Matrix Estimation without the Condition Number
Mohammadreza Soltani
C. Hegde
18
10
0
08 Dec 2017
Blind Image Deblurring Using Row-Column Sparse Representations
Blind Image Deblurring Using Row-Column Sparse Representations
M. Tofighi
Yuelong Li
V. Monga
24
14
0
05 Dec 2017
Convolutional Phase Retrieval via Gradient Descent
Convolutional Phase Retrieval via Gradient Descent
Qing Qu
Yuqian Zhang
Yonina C. Eldar
John N. Wright
30
29
0
03 Dec 2017
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random
  Vectors
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Nikos Kargas
N. Sidiropoulos
Xiao Fu
31
41
0
01 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
19
27
0
30 Nov 2017
Implicit Regularization in Nonconvex Statistical Estimation: Gradient
  Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind
  Deconvolution
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma
Kaizheng Wang
Yuejie Chi
Yuxin Chen
21
240
0
28 Nov 2017
Accelerated Alternating Projections for Robust Principal Component
  Analysis
Accelerated Alternating Projections for Robust Principal Component Analysis
HanQin Cai
Jian-Feng Cai
Ke Wei
34
66
0
15 Nov 2017
Near-optimal sample complexity for convex tensor completion
Near-optimal sample complexity for convex tensor completion
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
14
32
0
14 Nov 2017
Alternating minimization for dictionary learning: Local Convergence
  Guarantees
Alternating minimization for dictionary learning: Local Convergence Guarantees
Niladri S. Chatterji
Peter L. Bartlett
13
26
0
09 Nov 2017
Learning Non-overlapping Convolutional Neural Networks with Multiple
  Kernels
Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels
Kai Zhong
Zhao Song
Inderjit S. Dhillon
36
75
0
08 Nov 2017
Regret Bounds and Regimes of Optimality for User-User and Item-Item
  Collaborative Filtering
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering
Guy Bresler
Mina Karzand
22
14
0
06 Nov 2017
Model-free Nonconvex Matrix Completion: Local Minima Analysis and
  Applications in Memory-efficient Kernel PCA
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
Ji Chen
Xiaodong Li
45
27
0
06 Nov 2017
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an
  Iteration Complexity Analysis
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis
Junyu Zhang
Shiqian Ma
Shuzhong Zhang
8
36
0
05 Oct 2017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe
Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
32
249
0
27 Sep 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
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