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Multi-task Regression using Minimal Penalties

Multi-task Regression using Minimal Penalties

22 July 2011
Matthieu Solnon
Sylvain Arlot
Francis R. Bach
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Papers citing "Multi-task Regression using Minimal Penalties"

8 / 8 papers shown
Title
Gradient Aligned Regression via Pairwise Losses
Gradient Aligned Regression via Pairwise Losses
Dixian Zhu
Tianbao Yang
Livnat Jerby-Arnon
46
0
0
08 Feb 2024
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
226
382
0
11 Jul 2010
Optimal model selection in density estimation
Optimal model selection in density estimation
M. Lerasle
105
46
0
09 Oct 2009
Data-driven calibration of linear estimators with minimal penalties
Data-driven calibration of linear estimators with minimal penalties
Sylvain Arlot
Francis R. Bach
126
61
0
10 Sep 2009
Model selection by resampling penalization
Model selection by resampling penalization
Sylvain Arlot
113
66
0
17 Jun 2009
Clustered Multi-Task Learning: A Convex Formulation
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob
Francis R. Bach
Jean-Philippe Vert
98
509
0
11 Sep 2008
Support union recovery in high-dimensional multivariate regression
Support union recovery in high-dimensional multivariate regression
G. Obozinski
Martin J. Wainwright
Michael I. Jordan
188
323
0
05 Aug 2008
Data-driven calibration of penalties for least-squares regression
Data-driven calibration of penalties for least-squares regression
Sylvain Arlot
P. Massart
183
159
0
06 Feb 2008
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