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For those who don't know, Radford Neal is an highly respected statistician and machine learning researcher.

His most well-known contribution is showing the community how to train neural networks in a Bayesian way.

He is at Toronto, where he received his Ph.D. under Geoff Hinton (the father of deep learning).



Also he invented tons of kickass sampling techniques and wrote what I consider to be the best review of MCMC of all time http://www.cs.toronto.edu/~radford/ftp/review.pdf




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