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JMLR
2010
137views more  JMLR 2010»
15 years 1 months ago
HOP-MAP: Efficient Message Passing with High Order Potentials
There is a growing interest in building probabilistic models with high order potentials (HOPs), or interactions, among discrete variables. Message passing inference in such models...
Daniel Tarlow, Inmar Givoni, Richard S. Zemel
JMLR
2010
163views more  JMLR 2010»
15 years 1 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
JMLR
2010
118views more  JMLR 2010»
15 years 1 months ago
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
It is probably fair to say that exact inference in graphical models is considered a solved problem, at least regarding its computational complexity: it is exponential in the treew...
Julian John McAuley, Tibério S. Caetano
JMLR
2010
105views more  JMLR 2010»
15 years 1 months ago
When causality matters for prediction
Recent evaluations have indicated that in practice, general methods for prediction which do not account for changes in the conditional distribution of a target variable given feat...
Robert E. Tillman, Peter Spirtes
JMLR
2010
93views more  JMLR 2010»
15 years 1 months ago
Distinguishing between cause and effect
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...
Joris M. Mooij, Dominik Janzing