Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2103.08895
Cited By

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
Optimization

v1v2v3v4 (latest)

Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization

Journal of the American Statistical Association (JASA), 2021

16 March 2021

ArXiv (abs)PDF HTML Github (24★)

Papers citing "Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization"

18 / 18 papers shown

Accelerating Large-Scale Regularized High-Order Tensor Recovery

Accelerating Large-Scale Regularized High-Order Tensor Recovery

339

1

0

11 Jun 2025

Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation

Outlier-aware Tensor Robust Principal Component Analysis with Self-guided Data Augmentation

272

0

0

25 Apr 2025

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent

329

0

0

23 Jan 2025

Tensor Methods in High Dimensional Data Analysis: Opportunities and
Challenges

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges

323

6

0

28 May 2024

Conformalized Tensor Completion with Riemannian Optimization

Conformalized Tensor Completion with Riemannian Optimization

Yang Chen

433

3

0

01 May 2024

Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent

Low-Tubal-Rank Tensor Recovery via Factorized Gradient DescentIEEE Transactions on Signal Processing (IEEE TSP), 2024

475

10

0

22 Jan 2024

High-dimensional Linear Bandits with Knapsacks

High-dimensional Linear Bandits with KnapsacksInternational Conference on Machine Learning (ICML), 2023

264

1

0

02 Nov 2023

Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled
Gradient Descent, Even with Overparameterization

Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization

417

12

0

09 Oct 2023

Computationally Efficient and Statistically Optimal Robust
High-Dimensional Linear Regression

Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression

353

2

0

10 May 2023

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery
with Sparse Corruption

Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse CorruptionSIAM Journal of Imaging Sciences (JSIS), 2023

401

15

0

06 May 2023

Efficient Estimation for Longitudinal Networks via Adaptive Merging

Efficient Estimation for Longitudinal Networks via Adaptive MergingJournal of the American Statistical Association (JASA), 2022

480

4

0

15 Nov 2022

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
Model

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model

252

2

0

28 Sep 2022

Fast and Provable Tensor Robust Principal Component Analysis via Scaled
Gradient Descent

Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient DescentInformation and Inference A Journal of the IMA (JIII), 2022

320

19

0

18 Jun 2022

Tensor-on-Tensor Regression: Riemannian Optimization,
Over-parameterization, Statistical-computational Gap, and Their Interplay

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their InterplayAnnals of Statistics (Ann. Stat.), 2022

371

28

0

17 Jun 2022

Learned Robust PCA: A Scalable Deep Unfolding Approach for
High-Dimensional Outlier Detection

Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier DetectionNeural Information Processing Systems (NeurIPS), 2021

319

59

0

11 Oct 2021

Provable Tensor-Train Format Tensor Completion by Riemannian
Optimization

Provable Tensor-Train Format Tensor Completion by Riemannian OptimizationJournal of machine learning research (JMLR), 2021

339

40

0

27 Aug 2021

Latent Space Model for Higher-order Networks and Generalized Tensor
Decomposition

Latent Space Model for Higher-order Networks and Generalized Tensor DecompositionJournal of Computational And Graphical Statistics (JCGS), 2021

219

33

0

30 Jun 2021

Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical
Optimality and Second-Order Convergence

Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order ConvergenceJournal of machine learning research (JMLR), 2021

510

27

0

24 Apr 2021

Page 1 of 1