Nonlinear causal discovery with additive noise models (2009)
Hoyer, P.O., Janzing, D., Mooij, J.M., Peters, J., Schölkopf, B.
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models are often used because these...
Loop corrected belief propagation (2007)
We propose a method for improving Belief Propagation (BP) that takes into account the influence of loops in the graphical model. The method is a variation on and generalization of the method recently...
Truncating the loop series expansion for Belief Propagation (2006)
Gomez, Vicenc, Mooij, J. M., Kappen, H. J.
Recently, M. Chertkov and V.Y. Chernyak derived an exact expression for the partition sum (normalization constant) corresponding to a graphical model, which is an expansion around the Belief...