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Estimation of low-rank tensors via convex optimization
v1v2 (latest)

Estimation of low-rank tensors via convex optimization

5 October 2010
Ryota Tomioka
K. Hayashi
H. Kashima
ArXiv (abs)PDFHTML

Papers citing "Estimation of low-rank tensors via convex optimization"

50 / 63 papers shown
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A
  Direct Multilinear Rank Learning Approach
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning ApproachPattern Recognition (Pattern Recogn.), 2024
Xueke Tong
Hancheng Zhu
Lei Cheng
Yik-Chung Wu
266
6
0
08 Sep 2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelInternational Conference on Machine Learning (ICML), 2024
Chenyin Gao
Zhiming Zhang
Shu Yang
279
4
0
18 May 2024
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm
  Regularization
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm RegularizationJournal of machine learning research (JMLR), 2022
Quanming Yao
Yaqing Wang
Bo Han
James T. Kwok
232
4
0
06 May 2022
Tensor Completion for Causal Inference with Multivariate Longitudinal
  Data: A Reevaluation of COVID-19 Mandates
Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates
Jonathan Auerbach
M. Slawski
Shixue Zhang
309
1
0
09 Mar 2022
Tensor train completion: local recovery guarantees via Riemannian
  optimization
Tensor train completion: local recovery guarantees via Riemannian optimizationNumerical Linear Algebra with Applications (NLAA), 2021
S. Budzinskiy
N. Zamarashkin
456
17
0
08 Oct 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion
TenIPS: Inverse Propensity Sampling for Tensor CompletionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Chengrun Yang
Lijun Ding
Ziyang Wu
Madeleine Udell
621
11
0
01 Jan 2021
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization
  and Maximum Correntopy Criterion
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
Yicong He
George Atia
262
19
0
22 Oct 2020
Tensor Completion with Nearly Linear Samples Given Weak Side Information
Tensor Completion with Nearly Linear Samples Given Weak Side Information
Chao Yu
Xumei Xi
555
1
0
01 Jul 2020
Uncertainty quantification for nonconvex tensor completion: Confidence
  intervals, heteroscedasticity and optimality
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai
H. Vincent Poor
Yuxin Chen
351
26
0
15 Jun 2020
Tensor completion using enhanced multiple modes low-rank prior and total
  variation
Tensor completion using enhanced multiple modes low-rank prior and total variation
Haijin Zeng
Xiaozhen Xie
J. Ning
239
2
0
19 Apr 2020
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal
  Method
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method
Jiaqi Zhang
Yinghao Cai
Zhaoyang Wang
Beilun Wang
201
0
0
29 Nov 2019
An Efficient Tensor Completion Method via New Latent Nuclear Norm
An Efficient Tensor Completion Method via New Latent Nuclear NormIEEE Access (IEEE Access), 2019
Jinshi Yu
Weijun Sun
Yuning Qiu
Yong-hui Huang
232
7
0
14 Oct 2019
Recovery of Future Data via Convolution Nuclear Norm Minimization
Recovery of Future Data via Convolution Nuclear Norm MinimizationIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Guangcan Liu
Wayne Zhang
AI4TS
574
25
0
06 Sep 2019
Mixture-based Multiple Imputation Model for Clinical Data with a
  Temporal Dimension
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
Ye Xue
Diego Klabjan
Yuan Luo
AI4TS
306
10
0
12 Aug 2019
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse
  Observations via Similarity Based Collaborative Filtering
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative FilteringIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Devavrat Shah
Chao Yu
426
1
0
03 Aug 2019
FasTer: Fast Tensor Completion with Nonconvex Regularization
FasTer: Fast Tensor Completion with Nonconvex Regularization
Quanming Yao
James T. Kwok
Bo Han
316
1
0
23 Jul 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
353
429
0
19 Jun 2018
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition
  under Reshuffling
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition under Reshuffling
Chao Li
Mohammad Emtiyaz Khan
Zhun Sun
Gang Niu
Bo Han
Shengli Xie
Qibin Zhao
325
8
0
22 May 2018
Tensor Robust Principal Component Analysis with A New Tensor Nuclear
  Norm
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu
Jiashi Feng
Yudong Chen
Wen Liu
Zhouchen Lin
Shuicheng Yan
465
944
0
10 Apr 2018
Scalable Label Propagation for Multi-relational Learning on the Tensor
  Product of Graphs
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs
Zhuliu Li
Raphael Petegrosso
Shaden Smith
David Sterling
George Karypis
R. Kuang
149
3
0
20 Feb 2018
A dual framework for low-rank tensor completion
A dual framework for low-rank tensor completion
M. Nimishakavi
Pratik Jawanpuria
Bamdev Mishra
254
36
0
04 Dec 2017
Tensor Completion Algorithms in Big Data Analytics
Tensor Completion Algorithms in Big Data Analytics
Qingquan Song
Hancheng Ge
James Caverlee
Helen Zhou
412
261
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
268
32
0
14 Nov 2017
Fast online low-rank tensor subspace tracking by CP decomposition using
  recursive least squares from incomplete observations
Fast online low-rank tensor subspace tracking by CP decomposition using recursive least squares from incomplete observations
Hiroyuki Kasai
193
31
0
29 Sep 2017
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted
  Low-Rank Tensors via Convex Optimization
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex OptimizationComputer Vision and Pattern Recognition (CVPR), 2016
Canyi Lu
Jiashi Feng
Yudong Chen
Wen Liu
Zhouchen Lin
Shuicheng Yan
443
523
0
14 Aug 2017
Exact Tensor Completion from Sparsely Corrupted Observations via Convex
  Optimization
Exact Tensor Completion from Sparsely Corrupted Observations via Convex Optimization
J. Q. Jiang
Michael K. Ng
280
20
0
02 Aug 2017
On Tensor Train Rank Minimization: Statistical Efficiency and Scalable
  Algorithm
On Tensor Train Rank Minimization: Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi
Takanori Maehara
K. Hayashi
244
38
0
01 Aug 2017
Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion
Scaled Nuclear Norm Minimization for Low-Rank Tensor Completion
Morteza Ashraphijuo
Xiaodong Wang
227
6
0
25 Jul 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
874
25
0
13 May 2017
Fundamental Conditions for Low-CP-Rank Tensor Completion
Fundamental Conditions for Low-CP-Rank Tensor Completion
Morteza Ashraphijuo
Xiaodong Wang
236
57
0
31 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
159
12
0
22 Mar 2017
On Polynomial Time Methods for Exact Low Rank Tensor Completion
On Polynomial Time Methods for Exact Low Rank Tensor CompletionFoundations of Computational Mathematics (FoCM), 2017
Dong Xia
M. Yuan
431
80
0
22 Feb 2017
Spectral algorithms for tensor completion
Spectral algorithms for tensor completion
Andrea Montanari
Nike Sun
344
94
0
23 Dec 2016
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
469
20
0
06 Dec 2016
Multilinear Low-Rank Tensors on Graphs & Applications
Multilinear Low-Rank Tensors on Graphs & Applications
N. Shahid
Francesco Grassi
P. Vandergheynst
223
4
0
15 Nov 2016
Riemannian Tensor Completion with Side Information
Riemannian Tensor Completion with Side Information
Tengfei Zhou
Hui Qian
Zebang Shen
Congfu Xu
249
5
0
12 Nov 2016
Simple and Efficient Parallelization for Probabilistic Temporal Tensor
  Factorization
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization
Guangxi Li
Zenglin Xu
Linnan Wang
Jinmian Ye
Irwin King
Michael Lyu
281
8
0
11 Nov 2016
Incoherent Tensor Norms and Their Applications in Higher Order Tensor
  Completion
Incoherent Tensor Norms and Their Applications in Higher Order Tensor Completion
Ming Yuan
Cun-Hui Zhang
167
60
0
10 Jun 2016
Convolutional Imputation of Matrix Networks
Convolutional Imputation of Matrix Networks
Qingyun Sun
Mengyuan Yan
Stephen P. Boyd
293
0
0
02 Jun 2016
Low-rank tensor completion: a Riemannian manifold preconditioning
  approach
Low-rank tensor completion: a Riemannian manifold preconditioning approach
Hiroyuki Kasai
Bamdev Mishra
246
127
0
26 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
286
164
0
23 May 2016
Operator Norm Inequalities between Tensor Unfoldings on the Partition
  Lattice
Operator Norm Inequalities between Tensor Unfoldings on the Partition Lattice
Miaoyan Wang
K. D. Duc
Jonathan Fischer
Yun S. Song
258
35
0
17 Mar 2016
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse
  Perturbations
Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
Anima Anandkumar
Prateek Jain
Yang Shi
U. Niranjan
703
86
0
15 Oct 2015
Theoretical and Experimental Analyses of Tensor-Based Regression and
  Classification
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification
Kishan Wimalawarne
Ryota Tomioka
Masashi Sugiyama
252
36
0
06 Sep 2015
Convex Factorization Machine for Regression
Convex Factorization Machine for Regression
M. Yamada
Wenzhao Lian
Amit Goyal
Jianhui Chen
Kishan Wimalawarne
Suleiman A. Khan
Samuel Kaski
Hiroshi Mamitsuka
Yi Chang
466
4
0
04 Jul 2015
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
B. Haeffele
René Vidal
452
152
0
24 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
420
190
0
19 Jun 2015
Riemannian preconditioning for tensor completion
Riemannian preconditioning for tensor completion
Hiroyuki Kasai
Bamdev Mishra
245
10
0
06 Jun 2015
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four
  Contractions Suffice
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice
P. Shah
Nikhil S. Rao
Gongguo Tang
237
12
0
15 May 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the
  Subspace Norm
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
Qinqing Zheng
Ryota Tomioka
313
14
0
18 Mar 2015
12
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