From 0ad617dc341de1d03c91224bd8ed6cc92f1556b9 Mon Sep 17 00:00:00 2001 From: ChunyuanLI Date: Sat, 13 Jan 2018 02:08:14 -0500 Subject: [PATCH] Update README.md --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b9218b7..66a098b 100644 --- a/README.md +++ b/README.md @@ -3,11 +3,14 @@ **Tensorflow implementation of Stein Variational Gradient Descent (SVGD)** +
![](/results/toy1.png) | :-------------------------:| ![](/results/toy2.png) | ---- +
+ +-- 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."