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Excess risk bounds for multitask learning with trace norm regularization

Excess risk bounds for multitask learning with trace norm regularization

6 December 2012
Andreas Maurer
Massimiliano Pontil
ArXivPDFHTML

Papers citing "Excess risk bounds for multitask learning with trace norm regularization"

9 / 9 papers shown
Title
Random Forest Autoencoders for Guided Representation Learning
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon
Shuang Ni
Myriam Lizotte
Guy Wolf
Kevin R. Moon
Jake S. Rhodes
126
0
0
18 Feb 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
90
0
0
31 Jan 2025
Learning with the Weighted Trace-norm under Arbitrary Sampling
  Distributions
Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions
Rina Foygel
Ruslan Salakhutdinov
Ohad Shamir
Nathan Srebro
79
65
0
21 Jun 2011
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
100
1,213
0
01 Jun 2011
Dimension-free tail inequalities for sums of random matrices
Dimension-free tail inequalities for sums of random matrices
Daniel J. Hsu
Sham Kakade
Tong Zhang
79
23
0
09 Apr 2011
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
275
382
0
11 Jul 2010
Regularization Techniques for Learning with Matrices
Regularization Techniques for Learning with Matrices
Sham Kakade
Shai Shalev-Shwartz
Ambuj Tewari
127
211
0
04 Oct 2009
When is there a representer theorem? Vector versus matrix regularizers
When is there a representer theorem? Vector versus matrix regularizers
Andreas Argyriou
C. Micchelli
Massimiliano Pontil
116
172
0
09 Sep 2008
Consistency of trace norm minimization
Consistency of trace norm minimization
Francis R. Bach
256
220
0
15 Oct 2007
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