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Message passing can lead to extremely fast maximum likelihood or variational inference.

I have used it for realtime control problems. It is a very interesting domain!



Do you have a good reference? Preferably one that mentions a control application because I’m curious to see what the model assumptions and speed look like in that context


You can start with a review [1], and then BRML [2]. I think applications that are very focused on control tend to come from the military and thus not so well documented.

[1] An introduction to factor graphs. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1267047

[2] Bayesian Reasoning and Machine Learning. http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/200620.pdf




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