56 search results - page 4 / 12 » Stochastic methods for l1 regularized loss minimization |
119
Voted
JMLR
2010
14 years 10 months ago
2010
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
108
Voted
MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
108
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper we propose an error control scheme for video communications over lossy channels. The proposed algorithm uses stochastic frame buffers(SFB) to determine the expected ...
IWANN
2009
Springer
15 years 7 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...