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Restricted strong convexity and weighted matrix completion: Optimal
  bounds with noise

Restricted strong convexity and weighted matrix completion: Optimal bounds with noise

10 September 2010
S. Negahban
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Restricted strong convexity and weighted matrix completion: Optimal bounds with noise"

50 / 241 papers shown
Title
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
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
Error Analysis on Graph Laplacian Regularized Estimator
Error Analysis on Graph Laplacian Regularized Estimator
Kaige Yang
Xiaowen Dong
Laura Toni
21
1
0
11 Feb 2019
An Introductory Guide to Fano's Inequality with Applications in
  Statistical Estimation
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Jonathan Scarlett
V. Cevher
49
39
0
02 Jan 2019
Matrix Completion under Low-Rank Missing Mechanism
Matrix Completion under Low-Rank Missing Mechanism
Xiaojun Mao
Raymond K. W. Wong
Songxi Chen
25
15
0
19 Dec 2018
Interpretable Matrix Completion: A Discrete Optimization Approach
Interpretable Matrix Completion: A Discrete Optimization Approach
Dimitris Bertsimas
M. Li
23
7
0
17 Dec 2018
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
Spectral thresholding for the estimation of Markov chain transition
  operators
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
17
6
0
24 Aug 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown
  Permutations
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
Cheng Mao
A. Pananjady
Martin J. Wainwright
20
13
0
25 Jun 2018
Exponential weights in multivariate regression and a low-rankness
  favoring prior
Exponential weights in multivariate regression and a low-rankness favoring prior
A. Dalalyan
37
16
0
25 Jun 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
27
382
0
19 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
36
9
0
11 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
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
37
29
0
30 Apr 2018
Estimation of Markov Chain via Rank-Constrained Likelihood
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li
Mengdi Wang
Anru R. Zhang
17
18
0
03 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
36
24
0
28 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
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
Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based
  Models in Polynomial Time
Breaking the 1/n1/\sqrt{n}1/n​ Barrier: Faster Rates for Permutation-based Models in Polynomial Time
Cheng Mao
A. Pananjady
Martin J. Wainwright
36
13
0
27 Feb 2018
Sharp oracle inequalities for stationary points of nonconvex penalized
  M-estimators
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimators
A. Elsener
Sara van de Geer
25
10
0
27 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
18
171
0
23 Feb 2018
Recovery of simultaneous low rank and two-way sparse coefficient
  matrices, a nonconvex approach
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
Ming Yu
Varun Gupta
Mladen Kolar
29
21
0
20 Feb 2018
Nonparametric Estimation of Low Rank Matrix Valued Function
Nonparametric Estimation of Low Rank Matrix Valued Function
Fan Zhou
28
2
0
17 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
37
47
0
15 Feb 2018
Network Estimation from Point Process Data
Network Estimation from Point Process Data
Benjamin Mark
Garvesh Raskutti
Rebecca Willett
3DPC
19
28
0
13 Feb 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
43
39
0
05 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
31
13
0
24 Jan 2018
IHT dies hard: Provable accelerated Iterative Hard Thresholding
IHT dies hard: Provable accelerated Iterative Hard Thresholding
Rajiv Khanna
Anastasios Kyrillidis
17
33
0
26 Dec 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
29
240
0
28 Nov 2017
Near-optimal sample complexity for convex tensor completion
Near-optimal sample complexity for convex tensor completion
Navid Ghadermarzy
Y. Plan
Özgür Yilmaz
22
32
0
14 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
30
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
48
27
0
06 Nov 2017
Matrix Completion Methods for Causal Panel Data Models
Matrix Completion Methods for Causal Panel Data Models
Susan Athey
Mohsen Bayati
Nikolay Doudchenko
Guido Imbens
Khashayar Khosravi
32
413
0
27 Oct 2017
Alternating minimization and alternating descent over nonconvex sets
Alternating minimization and alternating descent over nonconvex sets
Wooseok Ha
Rina Foygel Barber
15
8
0
13 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
34
18
0
01 Sep 2017
Lasso Guarantees for $ β$-Mixing Heavy Tailed Time Series
Lasso Guarantees for β ββ-Mixing Heavy Tailed Time Series
Kam Chung Wong
Zifan Li
Ambuj Tewari
40
25
0
03 Aug 2017
Structured Matrix Estimation and Completion
Structured Matrix Estimation and Completion
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
Harrison H. Zhou
37
20
0
07 Jul 2017
Multi-sample Estimation of Bacterial Composition Matrix in Metagenomics
  Data
Multi-sample Estimation of Bacterial Composition Matrix in Metagenomics Data
Yuanpei Cao
Anru R. Zhang
Hongzhe Li
16
11
0
07 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
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
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
29
8
0
27 Apr 2017
Learning from Comparisons and Choices
Learning from Comparisons and Choices
S. Negahban
Sewoong Oh
K. K. Thekumparampil
Jiaming Xu
18
39
0
24 Apr 2017
Constructing confidence sets for the matrix completion problem
Constructing confidence sets for the matrix completion problem
Alexandra Carpentier
Olga Klopp
Matthias Loffler
26
6
0
10 Apr 2017
Provable Inductive Robust PCA via Iterative Hard Thresholding
Provable Inductive Robust PCA via Iterative Hard Thresholding
U. Niranjan
A. Rajkumar
Theja Tulabandhula
OOD
16
5
0
02 Apr 2017
Spectrum Estimation from a Few Entries
Spectrum Estimation from a Few Entries
A. Khetan
Sewoong Oh
23
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
24
24
0
08 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
24
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
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
22
10
0
21 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
35
11
0
09 Jan 2017
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