13 search results - page 1 / 3 » Bregman distance to L1 regularized logistic regression |
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
AAAI
2006
13 years 6 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
AAAI
2007
13 years 7 months ago
2007
CORR
2011
Springer
12 years 8 months ago
2011
Springer
We propose Shotgun, a parallel coordinate descent algorithm for minimizing L1regularized losses. Though coordinate descent seems inherently sequential, we prove convergence bounds...
COLT
2000
Springer
13 years 9 months ago
2000
Springer
