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Variational message-passing algorithms in graphical models – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 21 min read

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doi.org

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https://doi.org/10.1007/978-94-011-5014-9_5

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http://www.ams.org/conm/001/

ams.org

http://arxiv.org/abs/2009.12246

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https://doi.org/10.1007/978-0-387-74101-7

doi.org

https://doi.org/10.1109/18.910572

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http://arxiv.org/abs/2007.00295

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http://arxiv.org/abs/1506.05934

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http://arxiv.org/abs/1602.02311

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https://doi.org/10.1109/MSP.2004.1267047

doi.org

https://doi.org/10.1109/JPROC.2007.896497

doi.org

https://doi.org/10.48550/arXiv.2402.08193

doi.org

http://jmlr.csail.mit.edu/papers/v7/malioutov06a.html

jmlr.csail.mit.edu

https://doi.org/10.1109/LSP.2013.2290192

doi.org

https://doi.org/10.48550/arXiv.1301.2294

doi.org

http://research-srv.microsoft.com/en-us/um/people/minka/papers/ep/minka-ep-quickref.pdf

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papers.nips.cc

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http://arxiv.org/abs/2107.02308

arxiv.org

http://www.aaai.org/Papers/AAAI/1982/AAAI82-032.pdf

aaai.org

https://doi.org/10.1109/ISIT.2011.6033942

doi.org

http://arxiv.org/abs/1410.1068

arxiv.org

https://doi.org/10.1109/Allerton.2012.6483302

doi.org

http://dl.acm.org/citation.cfm?id=1613737

dl.acm.org

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http://johnwinn.org/Publications/papers/VMP2005.pdf

johnwinn.org

http://arxiv.org/abs/1212.2512

arxiv.org

http://www.merl.com/publications/TR2001-22

merl.com

https://proceedings.neurips.cc/paper_files/paper/2014/hash/be3159ad04564bfb90db9e32851ebf9c-Abstract.html

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