Update README.md

ChunyuanLI · Jan 13, 2018 · 9bdaab0 · 9bdaab0
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 ### Description
 "SVGD is a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. SVGD iteratively transports a set of particles to match with the target distribution, by applying a form of functional gradient descent that minimizes the KL divergence."
 
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 ### Link
   - For official implementation in Matlab and Theano, please visit the authors' project website - [SVGD](http://www.cs.dartmouth.edu/~dartml/project.html?p=vgd).