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» Regularization in matrix relevance learning
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TNN
2010
145views Management» more  TNN 2010»
12 years 11 months ago
Regularization in matrix relevance learning
Petra Schneider, Kerstin Bunte, Han Stiekema, Barb...
ICML
2007
IEEE
14 years 5 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
CORR
2010
Springer
89views Education» more  CORR 2010»
13 years 5 months ago
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
We show that matrix completion with tracenorm regularization can be significantly hurt when entries of the matrix are sampled nonuniformly. We introduce a weighted version of the ...
Ruslan Salakhutdinov, Nathan Srebro
ICML
2010
IEEE
13 years 2 months ago
Implicit Regularization in Variational Bayesian Matrix Factorization
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
Shinichi Nakajima, Masashi Sugiyama
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 5 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...