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JMLR
2010
106views more  JMLR 2010»
10 years 8 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
JMLR
2011
125views more  JMLR 2011»
10 years 8 months ago
Approximate Marginals in Latent Gaussian Models
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 ...
Botond Cseke, Tom Heskes
PRL
2008
118views more  PRL 2008»
11 years 25 days ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
UAI
2001
11 years 2 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
NIPS
2008
11 years 2 months ago
Improving on Expectation Propagation
A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These ...
Manfred Opper, Ulrich Paquet, Ole Winther
books