From 9bdaab0fef6ad0b4c5e80e34d61f6b188b1600d2 Mon Sep 17 00:00:00 2001
From: ChunyuanLI <ChunyuanLI@users.noreply.github.com>
Date: Sat, 13 Jan 2018 02:48:02 -0500
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index bff4069..31d5b0c 100644
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@@ -16,7 +16,7 @@
 ### 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).