2 search results - page 1 / 1 » Fast global convergence of gradient methods for high-dimensi... |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...