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Low rank Multivariate regression

Low rank Multivariate regression

27 September 2010
Christophe Giraud
ArXivPDFHTML

Papers citing "Low rank Multivariate regression"

9 / 9 papers shown
Title
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba
Emanuele Troiani
Luca Biggio
Antoine Maillard
Lenka Zdeborová
122
1
0
24 Oct 2024
A pseudo-RIP for multivariate regression
A pseudo-RIP for multivariate regression
Christophe Giraud
63
2
0
28 Jun 2011
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
154
663
0
29 Nov 2010
Estimator selection in the Gaussian setting
Estimator selection in the Gaussian setting
Y. Baraud
Christophe Giraud
S. Huet
98
32
0
13 Jul 2010
Optimal selection of reduced rank estimators of high-dimensional
  matrices
Optimal selection of reduced rank estimators of high-dimensional matrices
F. Bunea
Yiyuan She
M. Wegkamp
169
240
0
18 Apr 2010
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
208
382
0
29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
175
569
0
27 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
121
62
0
04 Apr 2009
Consistency of trace norm minimization
Consistency of trace norm minimization
Francis R. Bach
202
220
0
15 Oct 2007
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