19 search results - page 1 / 4 » Implicit Regularization in Variational Bayesian Matrix Facto... |
ICML
2010
IEEE
13 years 2 months ago
2010
IEEE
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...
PAKDD
2009
ACM
13 years 9 months ago
2009
ACM
Abstract. Recently, the variational Bayesian approximation was applied to probabilistic matrix factorization and shown to perform very well in experiments. However, its good perfor...
JMLR
2012
11 years 7 months ago
2012
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...