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1004.2995
Cited By
Optimal selection of reduced rank estimators of high-dimensional matrices
18 April 2010
F. Bunea
Yiyuan She
M. Wegkamp
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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
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
The Tien Mai
41
1
0
27 Apr 2024
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem
Simon Segert
39
0
0
18 Nov 2023
Two-sided Matrix Regression
Nayel Bettache
C. Butucea
35
0
0
08 Mar 2023
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
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
Qiong Wu
Jian Li
Zhenming Liu
Jun Luo
Mihai Cucuringu
36
4
0
01 Dec 2022
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
Canhong Wen
Ruipeng Dong
Xueqin Wang
Weiyu Li
Heping Zhang
26
0
0
29 Nov 2022
Generalization Error Bounds for Multiclass Sparse Linear Classifiers
Tomer Levy
F. Abramovich
32
5
0
13 Apr 2022
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
Kohei Yoshikawa
Shuichi Kawano
16
6
0
11 Oct 2019
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
Aviv Navon
Saharon Rosset
18
0
0
10 Dec 2018
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
Gen Li
Xiaokang Liu
Kun Chen
28
6
0
26 Jul 2018
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
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
Harrison H. Zhou
37
20
0
07 Jul 2017
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
Antik Chakraborty
A. Bhattacharya
Bani Mallick
31
26
0
02 Dec 2016
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
Shiying He
Haiwei Zhou
Yao Wang
Wenfei Cao
Zhi Han
20
30
0
23 Jan 2016
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
27
58
0
14 Sep 2015
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
Olga Klopp
57
203
0
01 Mar 2012
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
Angelika Rohde
87
3
0
27 Jul 2011
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
A. Shabalin
A. Nobel
75
161
0
23 Jul 2010
Reduced Rank Vector Generalized Linear Models for Feature Extraction
Yiyuan She
60
24
0
19 Jul 2010
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
Zhaosong Lu
R. Monteiro
M. Yuan
96
62
0
04 Apr 2009
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