ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0912.5338
  4. Cited By
Estimation of high-dimensional low-rank matrices
v1v2v3v4v5 (latest)

Estimation of high-dimensional low-rank matrices

29 December 2009
Angelika Rohde
Alexandre B. Tsybakov
ArXiv (abs)PDFHTML

Papers citing "Estimation of high-dimensional low-rank matrices"

50 / 178 papers shown
Leveraging semantic similarity for experimentation with AI-generated treatments
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi
David Arbour
Raghavendra Addanki
Ritwik Sinha
Avi Feller
187
1
0
24 Oct 2025
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
Frédéric Zheng
Yassir Jedra
Alexandre Proutiere
199
0
0
09 Oct 2025
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Zhengyun Cheng
Ruizhe Zhang
Guanwen Zhang
Y. F. Xu
Xiangyang Ji
Wei Zhou
246
0
0
27 Jun 2025
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
One Rank at a Time: Cascading Error Dynamics in Sequential Learning
Mahtab Alizadeh Vandchali
Fangshuo
Liao
Anastasios Kyrillidis
224
3
0
28 May 2025
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections
Xin Yu
Yujia Wang
Jinghui Chen
Lingzhou Xue
409
5
0
18 May 2025
Computational Efficient and Minimax Optimal Nonignorable Matrix Completion
Computational Efficient and Minimax Optimal Nonignorable Matrix Completion
Yuanhong A
Guoyu Zhang
Yongcheng Zeng
Bo Zhang
346
0
0
05 Apr 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
480
0
0
31 Jan 2025
Theoretical limits of descending $\ell_0$ sparse-regression ML
  algorithms
Theoretical limits of descending ℓ0\ell_0ℓ0​ sparse-regression ML algorithms
Mihailo Stojnic
273
0
0
10 Oct 2024
On properties of fractional posterior in generalized reduced-rank
  regression
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
339
7
0
27 Apr 2024
Low solution rank of the matrix LASSO under RIP with consequences for
  rank-constrained algorithms
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
Andrew D. McRae
268
2
0
19 Apr 2024
Near-Optimal differentially private low-rank trace regression with
  guaranteed private initialization
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization
Mengyue Zha
290
0
0
24 Mar 2024
Low-rank matrix estimation via nonconvex spectral regularized methods in
  errors-in-variables matrix regression
Low-rank matrix estimation via nonconvex spectral regularized methods in errors-in-variables matrix regression
Xin Li
Dongya Wu
269
0
0
05 Mar 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and
  Arm-Set-Dependent Low-Rank Bandits
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
348
5
0
17 Feb 2024
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Joowon Lee
Hanbaek Lyu
Weixin Yao
337
2
0
18 Nov 2023
Perceptual adjustment queries and an inverted measurement paradigm for
  low-rank metric learning
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learningNeural Information Processing Systems (NeurIPS), 2023
Austin Xu
Andrew D. McRae
Jingyan Wang
Mark A. Davenport
A. Pananjady
287
3
0
08 Sep 2023
Multi-Task Learning with Summary Statistics
Multi-Task Learning with Summary StatisticsNeural Information Processing Systems (NeurIPS), 2023
Parker Knight
Rui Duan
403
17
0
05 Jul 2023
Computationally Efficient and Statistically Optimal Robust
  High-Dimensional Linear Regression
Computationally Efficient and Statistically Optimal Robust High-Dimensional Linear Regression
Yinan Shen
Jingyang Li
Jian-Feng Cai
Dong Xia
352
2
0
10 May 2023
Two-sided Matrix Regression
Two-sided Matrix Regression
Nayel Bettache
C. Butucea
343
1
0
08 Mar 2023
First-order ANIL learns linear representations despite misspecified
  latent dimension
First-order ANIL learns linear representations despite misspecified latent dimension
Oğuz Kaan Yüksel
Etienne Boursier
Nicolas Flammarion
345
1
0
02 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering
Quantized Low-Rank Multivariate Regression with Random DitheringIEEE Transactions on Signal Processing (IEEE TSP), 2023
Junren Chen
Yueqi Wang
Michael Kwok-Po Ng
396
10
0
22 Feb 2023
Adversarial Online Collaborative Filtering
Adversarial Online Collaborative FilteringInternational Conference on Algorithmic Learning Theory (ALT), 2023
Stephen Pasteris
Fabio Vitale
Mark Herbster
Claudio Gentile
Andre' Panisson
449
0
0
11 Feb 2023
Causal Inference (C-inf) -- asymmetric scenario of typical phase
  transitions
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions
A. Capponi
M. Stojnic
306
4
0
02 Jan 2023
Causal Inference (C-inf) -- closed form worst case typical phase
  transitions
Causal Inference (C-inf) -- closed form worst case typical phase transitions
A. Capponi
M. Stojnic
322
2
0
02 Jan 2023
Always Valid Risk Monitoring for Online Matrix Completion
Always Valid Risk Monitoring for Online Matrix Completion
ChiHua Wang
Wenjie Li
CLL
320
1
0
18 Nov 2022
On a low-rank matrix single index model
On a low-rank matrix single index model
The Tien Mai
316
2
0
17 Oct 2022
Spectrally-Corrected and Regularized Linear Discriminant Analysis for
  Spiked Covariance Model
Spectrally-Corrected and Regularized Linear Discriminant Analysis for Spiked Covariance Model
Hua Li
Wenya Luo
Z. Bai
Huanchao Zhou
Zhangni Pu
249
3
0
08 Oct 2022
A Unified Framework for Estimation of High-dimensional Conditional Factor Models
A Unified Framework for Estimation of High-dimensional Conditional Factor ModelsSocial Science Research Network (SSRN), 2022
Qihui Chen
384
2
0
01 Sep 2022
Robust Methods for High-Dimensional Linear Learning
Robust Methods for High-Dimensional Linear LearningJournal of machine learning research (JMLR), 2022
Ibrahim Merad
Stéphane Gaïffas
OOD
566
5
0
10 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with
  Heavy-tailed Noises and Covariates
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates
Takeyuki Sasai
553
5
0
15 Jun 2022
Hankel low-rank approximation and completion in time series analysis and
  forecasting: a brief review
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief reviewStatistics and its Interface (SII), 2022
J. Gillard
K. Usevich
AI4TS
300
20
0
10 Jun 2022
Robust Regularized Low-Rank Matrix Models for Regression and
  Classification
Robust Regularized Low-Rank Matrix Models for Regression and Classification
Hsin-Hsiung Huang
Feng Yu
Xing Fan
Teng Zhang
206
1
0
14 May 2022
Matrix Completion with Heterogonous Cost
Matrix Completion with Heterogonous Cost
Ilqar Ramazanli
440
2
0
23 Mar 2022
Trace norm regularization for multi-task learning with scarce data
Trace norm regularization for multi-task learning with scarce dataAnnual Conference Computational Learning Theory (COLT), 2022
Etienne Boursier
Mikhail Konobeev
Nicolas Flammarion
275
12
0
14 Feb 2022
Rank-Constrained Least-Squares: Prediction and Inference
Rank-Constrained Least-Squares: Prediction and Inference
Michael Law
Yaácov Ritov
Ruixiang Zhang
Ziwei Zhu
404
1
0
29 Nov 2021
One-Bit Matrix Completion with Differential Privacy
One-Bit Matrix Completion with Differential Privacy
Zhengpin Li
Zheng Wei
Zengfeng Huang
Xiaojun Mao
Jian Wang
319
0
0
02 Oct 2021
Inference for Low-Rank Models
Inference for Low-Rank Models
Victor Chernozhukov
Christian B. Hansen
Yuan Liao
Yinchu Zhu
268
20
0
06 Jul 2021
Matrix completion with data-dependent missingness probabilities
Matrix completion with data-dependent missingness probabilitiesIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Sohom Bhattacharya
S. Chatterjee
440
22
0
04 Jun 2021
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and
  Matrix Completion
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion
Takeyuki Sasai
Hironori Fujisawa
562
0
0
25 Oct 2020
Understanding Implicit Regularization in Over-Parameterized Single Index
  Model
Understanding Implicit Regularization in Over-Parameterized Single Index ModelJournal of the American Statistical Association (JASA), 2020
Jianqing Fan
Zhuoran Yang
Mengxin Yu
357
23
0
16 Jul 2020
Partial Trace Regression and Low-Rank Kraus Decomposition
Partial Trace Regression and Low-Rank Kraus Decomposition
Hachem Kadri
Stéphane Ayache
Riikka Huusari
A. Rakotomamonjy
L. Ralaivola
361
5
0
02 Jul 2020
Median Matrix Completion: from Embarrassment to Optimality
Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu
Xiaojun Mao
Raymond K. W. Wong
304
3
0
18 Jun 2020
Estimating High-dimensional Covariance and Precision Matrices under
  General Missing Dependence
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence
Seongoh Park
Xinlei Wang
Johan Lim
476
19
0
08 Jun 2020
Adaptive Estimation in Multivariate Response Regression with Hidden
  Variables
Adaptive Estimation in Multivariate Response Regression with Hidden Variables
Xin Bing
Y. Ning
Yaosheng Xu
319
4
0
30 Mar 2020
Provable Meta-Learning of Linear Representations
Provable Meta-Learning of Linear RepresentationsInternational Conference on Machine Learning (ICML), 2020
Nilesh Tripuraneni
Chi Jin
Sai Li
OOD
687
216
0
26 Feb 2020
High-Dimensional Dynamic Systems Identification with Additional
  Constraints
High-Dimensional Dynamic Systems Identification with Additional Constraints
Junlin Li
228
1
0
20 Dec 2019
High Dimensional Latent Panel Quantile Regression with an Application to
  Asset Pricing
High Dimensional Latent Panel Quantile Regression with an Application to Asset PricingAnnals of Statistics (Ann. Stat.), 2019
A. Belloni
Mingli Chen
Oscar Hernan Madrid Padilla
Zixuan Wang
Wang
332
21
0
04 Dec 2019
On Universal Features for High-Dimensional Learning and Inference
On Universal Features for High-Dimensional Learning and Inference
Shao-Lun Huang
A. Makur
G. Wornell
Lizhong Zheng
299
60
0
20 Nov 2019
Weighted matrix completion from non-random, non-uniform sampling
  patterns
Weighted matrix completion from non-random, non-uniform sampling patternsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
369
31
0
30 Oct 2019
How well can we learn large factor models without assuming strong
  factors?
How well can we learn large factor models without assuming strong factors?
Yinchu Zhu
OOD
369
0
0
23 Oct 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion
Statistical Inferences of Linear Forms for Noisy Matrix Completion
Dong Xia
M. Yuan
459
49
0
31 Aug 2019
1234
Next
Page 1 of 4