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Low rank Multivariate regression

Low rank Multivariate regression

27 September 2010
Christophe Giraud
ArXivPDFHTML

Papers citing "Low rank Multivariate regression"

7 / 7 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
35
0
0
24 Oct 2024
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
Model-based regression clustering for high-dimensional data. Application
  to functional data
Model-based regression clustering for high-dimensional data. Application to functional data
Emilie Devijver
21
20
0
04 Sep 2014
Finite mixture regression: A sparse variable selection by model
  selection for clustering
Finite mixture regression: A sparse variable selection by model selection for clustering
Emilie Devijver
23
26
0
04 Sep 2014
A pseudo-RIP for multivariate regression
A pseudo-RIP for multivariate regression
Christophe Giraud
45
2
0
28 Jun 2011
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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