116 search results - page 6 / 24 » Scalable inference in latent variable models |
CORR
2012
Springer
12 years 5 months ago
2012
Springer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
UAI
2004
13 years 11 months ago
2004
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
PAMI
2011
13 years 4 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
JMLR
2010
13 years 4 months ago
2010
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...