Yes, the reasons for pricing papers are beyond rationality!

]]>So, the hard copy is sold at $95 and the E-book at $260 (despite being available on arXiv). I’m puzzled

]]>Foundations and Trends in Machine Learning

Vol. 9, No. 2-3 (2016) 119–247

(c.) 2016 E. Angelino, M. J. Johnson, and R. P. Adams

DOI: 10.1561/2200000052

Thanks, I am aware of what variational Bayes stands for but cannot analyse how much of the current developments in this area is covered by the survey.

]]>It is indeed a good paper for getting a fairly up to date (anno 2014-ish) view on what is happening with scaling Bayesian inference to the “big data” regime.

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