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Optimal selection of reduced rank estimators of high-dimensional
  matrices

Optimal selection of reduced rank estimators of high-dimensional matrices

18 April 2010
F. Bunea
Yiyuan She
M. Wegkamp
ArXivPDFHTML

Papers citing "Optimal selection of reduced rank estimators of high-dimensional matrices"

32 / 32 papers shown
Title
Reduced-Rank Multi-objective Policy Learning and Optimization
Reduced-Rank Multi-objective Policy Learning and Optimization
Ezinne Nwankwo
Michael I. Jordan
Angela Zhou
OffRL
CML
22
0
0
29 Apr 2024
On properties of fractional posterior in generalized reduced-rank
  regression
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
41
1
0
27 Apr 2024
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
Simon Segert
39
0
0
18 Nov 2023
Two-sided Matrix Regression
Two-sided Matrix Regression
Nayel Bettache
C. Butucea
35
0
0
08 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering
Quantized Low-Rank Multivariate Regression with Random Dithering
Junren Chen
Yueqi Wang
Michael Kwok-Po Ng
39
5
0
22 Feb 2023
Tensor Factorization via Transformed Tensor-Tensor Product for Image
  Alignment
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment
Sijia Xia
Duo Qiu
Xiongjun Zhang
39
5
0
12 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional
  Techniques with Non-linear Machine Learning Models
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
Qiong Wu
Jian Li
Zhenming Liu
Jun Luo
Mihai Cucuringu
36
4
0
01 Dec 2022
Learning Transition Operators From Sparse Space-Time Samples
Learning Transition Operators From Sparse Space-Time Samples
C. Kümmerle
Mauro Maggioni
Sui Tang
26
1
0
01 Dec 2022
Simultaneous Best Subset Selection and Dimension Reduction via
  Primal-Dual Iterations
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen
Ruipeng Dong
Xueqin Wang
Weiyu Li
Heping Zhang
26
0
0
29 Nov 2022
Generalization Error Bounds for Multiclass Sparse Linear Classifiers
Generalization Error Bounds for Multiclass Sparse Linear Classifiers
Tomer Levy
F. Abramovich
32
5
0
13 Apr 2022
Many Proxy Controls
Many Proxy Controls
Ben Deaner
AI4CE
38
7
0
08 Oct 2021
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable
  Selection via Manifold Optimization
Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization
Kohei Yoshikawa
Shuichi Kawano
16
6
0
11 Oct 2019
On Cross-validation for Sparse Reduced Rank Regression
On Cross-validation for Sparse Reduced Rank Regression
Yiyuan She
Hoang Tran
23
15
0
30 Dec 2018
Capturing Between-Tasks Covariance and Similarities Using Multivariate
  Linear Mixed Models
Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models
Aviv Navon
Saharon Rosset
18
0
0
10 Dec 2018
Robust Sparse Reduced Rank Regression in High Dimensions
Robust Sparse Reduced Rank Regression in High Dimensions
Kean Ming Tan
Qiang Sun
Daniela Witten
27
3
0
18 Oct 2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse
  and Low-Rank Models
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models
Gen Li
Xiaokang Liu
Kun Chen
28
6
0
26 Jul 2018
Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck
  process
Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process
Stéphane Gaïffas
Gustaw Matulewicz
34
27
0
10 Jul 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
Robust Regression via Mutivariate Regression Depth
Robust Regression via Mutivariate Regression Depth
Chao Gao
40
48
0
15 Feb 2017
Bayesian sparse multiple regression for simultaneous rank reduction and
  variable selection
Bayesian sparse multiple regression for simultaneous rank reduction and variable selection
Antik Chakraborty
A. Bhattacharya
Bani Mallick
31
26
0
02 Dec 2016
Fast estimation of approximate matrix ranks using spectral densities
Fast estimation of approximate matrix ranks using spectral densities
Shashanka Ubaru
Y. Saad
A. Seghouane
20
21
0
19 Aug 2016
Super-resolution reconstruction of hyperspectral images via low rank
  tensor modeling and total variation regularization
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization
Shiying He
Haiwei Zhou
Yao Wang
Wenfei Cao
Zhi Han
20
30
0
23 Jan 2016
Robust Reduced Rank Regression
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
27
58
0
14 Sep 2015
Adaptive Estimation in Two-way Sparse Reduced-rank Regression
Adaptive Estimation in Two-way Sparse Reduced-rank Regression
Zhuang Ma
Zongming Ma
Tingni Sun
54
34
0
08 Mar 2014
Noisy low-rank matrix completion with general sampling distribution
Noisy low-rank matrix completion with general sampling distribution
Olga Klopp
57
203
0
01 Mar 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
95
182
0
12 Jan 2012
Accuracy of empirical projections of high-dimensional Gaussian matrices
Accuracy of empirical projections of high-dimensional Gaussian matrices
Angelika Rohde
87
3
0
27 Jul 2011
A pseudo-RIP for multivariate regression
A pseudo-RIP for multivariate regression
Christophe Giraud
45
2
0
28 Jun 2011
Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise
Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise
A. Shabalin
A. Nobel
75
161
0
23 Jul 2010
Reduced Rank Vector Generalized Linear Models for Feature Extraction
Reduced Rank Vector Generalized Linear Models for Feature Extraction
Yiyuan She
60
24
0
19 Jul 2010
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
117
379
0
29 Dec 2009
Convex Optimization Methods for Dimension Reduction and Coefficient
  Estimation in Multivariate Linear Regression
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Zhaosong Lu
R. Monteiro
M. Yuan
96
62
0
04 Apr 2009
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