46 search results - page 3 / 10 » Tree-structured Approximations by Expectation Propagation |
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Belief propagation (BP) is the calculation method which enables us to obtain the marginal probabilities with a tractable computational cost. BP is known to provide true m...
NIPS
2004
13 years 6 months ago
2004
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
JMLR
2011
13 years 6 days ago
2011
We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...
NIPS
2003
13 years 6 months ago
2003
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...