Estimation of high-dimensional low-rank matrices

29 December 2009

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

50 / 59 papers shown

Title
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 33 0 0 05 Apr 2025
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 34 1 0 27 Apr 2024
Two-sided Matrix Regression Nayel Bettache C. Butucea 33 0 0 08 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 27 4 0 22 Feb 2023
Adversarial Online Collaborative Filtering Stephen Pasteris Fabio Vitale Mark Herbster Claudio Gentile Andre' Panisson 19 0 0 11 Feb 2023
Causal Inference (C-inf) -- closed form worst case typical phase transitions A. Capponi M. Stojnic 21 2 0 02 Jan 2023
Always Valid Risk Monitoring for Online Matrix Completion ChiHua Wang Wenjie Li CLL 32 1 0 18 Nov 2022
A Unified Framework for Estimation of High-dimensional Conditional Factor Models Qihui Chen 29 1 0 01 Sep 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 43 3 0 10 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 23 4 0 15 Jun 2022
One-Bit Matrix Completion with Differential Privacy Zhengpin Li Zheng Wei Zengfeng Huang Xiaojun Mao Jian Wang 27 0 0 02 Oct 2021
Matrix completion with data-dependent missingness probabilities Sohom Bhattacharya S. Chatterjee 24 18 0 04 Jun 2021
Weighted matrix completion from non-random, non-uniform sampling patterns S. Foucart Deanna Needell Reese Pathak Y. Plan Mary Wootters 16 27 0 30 Oct 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 23 18 0 10 May 2019
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
On Cross-validation for Sparse Reduced Rank Regression Yiyuan She Hoang Tran 23 15 0 30 Dec 2018
Matrix Completion under Low-Rank Missing Mechanism Xiaojun Mao Raymond K. W. Wong Songxi Chen 17 15 0 19 Dec 2018
Nuclear Norm Regularized Estimation of Panel Regression Models M. Weidner H. Moon 27 48 0 25 Oct 2018
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 24 21 0 16 Oct 2018
Adaptive Estimation of Noise Variance and Matrix Estimation via USVT Algorithm Mona Azadkia 21 2 0 28 Jan 2018
Regularization of the Kernel Matrix via Covariance Matrix Shrinkage Estimation Tomer Lancewicki 22 4 0 19 Jul 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model Yihua Li Devavrat Shah Dogyoon Song Chao Yu 15 22 0 13 May 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 32 58 0 05 Feb 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 30 11 0 31 Jan 2017
A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation Lingxiao Wang Xiao Zhang Quanquan Gu 16 80 0 17 Oct 2016
Estimation of low rank density matrices by Pauli measurements Dong Xia 31 3 0 16 Oct 2016
Max-Norm Optimization for Robust Matrix Recovery Ethan X. Fang Han Liu Kim-Chuan Toh Wen-Xin Zhou 21 34 0 24 Sep 2016
Adaptive confidence sets for matrix completion Alexandra Carpentier Olga Klopp Matthias Loffler Richard Nickl 29 27 0 17 Aug 2016
Low-rank diffusion matrix estimation for high-dimensional time-changed Lévy processes Denis Belomestny Mathias Trabs 27 12 0 15 Oct 2015
Robust Reduced Rank Regression Yiyuan She Kun Chen 23 58 0 14 Sep 2015
Optimal Estimation of Low Rank Density Matrices V. Koltchinskii Dong Xia 29 41 0 17 Jul 2015
Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization Yipeng Liu M. D. Vos Sabine Van Huffel 21 46 0 29 Jun 2015
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices M. Slawski Ping Li Matthias Hein 25 15 0 23 Apr 2015
Structured Matrix Completion with Applications to Genomic Data Integration Tianxi Cai T. Tony Cai Anru R. Zhang 24 74 0 08 Apr 2015
CUR Algorithm for Partially Observed Matrices Miao Xu R. L. Jin Zhi-Hua Zhou 40 34 0 04 Nov 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain Ambuj Tewari Purushottam Kar 9 227 0 20 Oct 2014
Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation Luwan Zhang G. Wahba M. Yuan 28 16 0 17 Sep 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems T. Tony Cai Tengyuan Liang Alexander Rakhlin 51 27 0 17 Apr 2014
ROP: Matrix recovery via rank-one projections T. Tony Cai Anru R. Zhang 36 149 0 22 Oct 2013
On the Strong Convergence of the Optimal Linear Shrinkage Estimator for Large Dimensional Covariance Matrix Taras Bodnar Arjun K. Gupta Nestor Parolya 32 46 0 12 Aug 2013
Geometric median and robust estimation in Banach spaces Stanislav Minsker 51 308 0 06 Aug 2013
Optimal Linear Shrinkage Estimator for Large Dimensional Precision Matrix Taras Bodnar Arjun K. Gupta Nestor Parolya 110 52 0 05 Aug 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage R. Nadakuditi 39 162 0 25 Jun 2013
Matrix estimation by Universal Singular Value Thresholding S. Chatterjee 69 520 0 06 Dec 2012
The Landmark Selection Method for Multiple Output Prediction Krishnakumar Balasubramanian Guy Lebanon 37 95 0 27 Jun 2012
Low Rank Estimation of Similarities on Graphs V. Koltchinskii P. Rangel 41 5 0 09 May 2012
Noisy low-rank matrix completion with general sampling distribution Olga Klopp 50 203 0 01 Mar 2012
High-dimensional covariance matrix estimation with missing observations Karim Lounici 52 182 0 12 Jan 2012
Accuracy of empirical projections of high-dimensional Gaussian matrices Angelika Rohde 80 3 0 27 Jul 2011