309 search results - page 9 / 62 » Smooth Optimization with Approximate Gradient |
SIBGRAPI
2008
IEEE
14 years 2 months ago
2008
IEEE
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result without global optimization. It combines the flexibility of Binary Sp...
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—This paper reviews the different gradient-based schemes and the sources of gradient, their availability, precision and computational complexity, and explores the benefits of usi...
ICONIP
2007
13 years 9 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
SIAMJO
2002
13 years 7 months ago
2002
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...