Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1212.0467
Cited By
Low-rank Matrix Completion using Alternating Minimization
3 December 2012
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
Re-assign community
ArXiv (abs)
PDF
HTML
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
Dejiao Zhang
Laura Balzano
26
13
0
01 Oct 2016
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
Wenqi Wang
Vaneet Aggarwal
Shuchin Aeron
45
46
0
19 Sep 2016
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
Aditya Gopalan
Odalric-Ambrym Maillard
Mohammadi Zaki
127
28
0
06 Sep 2016
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
Ming Lin
Jieping Ye
78
22
0
21 Aug 2016
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
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
Namrata Vaswani
Han Guo
103
25
0
15 Aug 2016
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
Sheng Chen
A. Banerjee
59
14
0
29 Jun 2016
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
Dohyung Park
Anastasios Kyrillidis
Constantine Caramanis
Sujay Sanghavi
67
56
0
10 Jun 2016
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
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
Jinghui Chen
Quanquan Gu
48
0
0
02 Jun 2016
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
Rong Ge
Jason D. Lee
Tengyu Ma
147
599
0
24 May 2016
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
Qinqing Zheng
John D. Lafferty
102
160
0
23 May 2016
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
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
Dustin Tran
Minjae Kim
Finale Doshi-Velez
95
5
0
29 Mar 2016
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
Jialei Wang
Mladen Kolar
Nathan Srebro
53
22
0
07 Mar 2016
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
Rajiv Khanna
Michael Tschannen
Martin Jaggi
61
1
0
12 Feb 2016
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
Yuanzhi Li
Yingyu Liang
Andrej Risteski
166
47
0
06 Feb 2016
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
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
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
Xinyang Yi
Constantine Caramanis
72
81
0
27 Nov 2015
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
Ju Sun
Qing Qu
John N. Wright
132
159
0
11 Nov 2015
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
Nathan Kallus
Madeleine Udell
59
11
0
17 Sep 2015
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
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
Yudong Chen
Martin J. Wainwright
305
318
0
10 Sep 2015
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
Dejiao Zhang
Laura Balzano
82
62
0
24 Jun 2015
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
Qinqing Zheng
John D. Lafferty
149
186
0
19 Jun 2015
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
T. Schramm
Benjamin Weitz
52
7
0
09 Jun 2015
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
Yuxin Chen
Emmanuel J. Candes
134
591
0
19 May 2015
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
Huan Gui
Quanquan Gu
149
28
0
18 May 2015
Previous
1
2
3
4
5
6
7
8
9
Next