Sciweavers

98 search results - page 4 / 20
» Bounding Recursive Procedural Models Using Convex Optimizati...
Sort
View
CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 1 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
JMLR
2010
143views more  JMLR 2010»
13 years 5 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
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...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
CAV
2000
Springer
187views Hardware» more  CAV 2000»
13 years 11 months ago
Combining Decision Diagrams and SAT Procedures for Efficient Symbolic Model Checking
In this paper we show how to do symbolic model checking using Boolean Expression Diagrams (BEDs), a non-canonical representation for Boolean formulas, instead of Binary Decision Di...
Poul Frederick Williams, Armin Biere, Edmund M. Cl...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 7 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
13 years 2 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...