Particle belief propagation

Graphical inference using empirical distribution estimates



Empirical CDFs as approximate belief propagation updates.

References

Naesseth, Christian Andersson, Fredrik Lindsten, and Thomas B SchΓΆn. 2014. β€œSequential Monte Carlo for Graphical Models.” In Advances in Neural Information Processing Systems. Vol. 27. Curran Associates, Inc.
Naesseth, Christian, Fredrik Lindsten, and Thomas Schon. 2015. β€œNested Sequential Monte Carlo Methods.” In Proceedings of the 32nd International Conference on Machine Learning, 1292–1301. PMLR.
Paige, Brooks, and Frank Wood. 2016. β€œInference Networks for Sequential Monte Carlo in Graphical Models.” In Proceedings of The 33rd International Conference on Machine Learning, 3040–49. PMLR.

No comments yet. Why not leave one?

GitHub-flavored Markdown & a sane subset of HTML is supported.