540 search results - page 14 / 108 » The Sinkhorn-Knopp Algorithm: Convergence and Applications |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We present a general decomposition algorithm that is uniformly applicable to every (suitably normalized) instance of Convex Quadratic Optimization and efficiently approaches an o...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper, we study the equilibrium regulation of potentially unstable linear systems with an unknown input time-delay and unknown parameters in the plant. We extend recent res...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...