6 search results - page 1 / 2 » Lifted coordinate descent for learning with trace-norm regul... |
JMLR
2012
11 years 7 months ago
2012
We consider the minimization of a smooth loss with trace-norm regularization, which is a natural objective in multi-class and multitask learning. Even though the problem is convex...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Cyclic coordinate descent is a classic optimization method that has witnessed a resurgence of interest in machine learning. Reasons for this include its simplicity, speed and stab...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
CORR
2012
Springer
12 years 20 days ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...