42 search results - page 4 / 9 » Convergence Rate of an Optimization Algorithm for Minimizing... |
JMLR
2010
13 years 6 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...
SIAMIS
2010
13 years 2 months ago
2010
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
INFOCOM
2012
IEEE
11 years 10 months ago
2012
IEEE
—We study two convex optimization problems in a multi-class M/G/1 queue with adjustable service rates: minimizing convex functions of the average delay vector, and minimizing ave...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...
MP
2010
13 years 6 months ago
2010
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...