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authorYuchen Pei <me@ypei.me>2019-02-14 10:11:38 +0100
committerYuchen Pei <me@ypei.me>2019-02-14 10:11:38 +0100
commitbe9623ade13d38335b291a0500f8f770166bb8fc (patch)
treeab481469b28bd2e77f040e9928fced126f5cf0a9
parent852b6957e9b36c9b3ae9c9a9478b83b3d6a143fa (diff)
minor
-rw-r--r--posts/2019-02-14-raise-your-elbo.md2
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diff --git a/posts/2019-02-14-raise-your-elbo.md b/posts/2019-02-14-raise-your-elbo.md
index e692894..a3dc0db 100644
--- a/posts/2019-02-14-raise-your-elbo.md
+++ b/posts/2019-02-14-raise-your-elbo.md
@@ -112,7 +112,7 @@ The term \"variational\" comes from the fact that we perform calculus of
variations: maximise some functional ($L(w, q)$) over a set of functions
($q$). Note however, most of the VI / VB algorithms do not concern any
techniques in calculus of variations, but only uses Jensen\'s inequality
-/ the fact the $D(p, q)$ reaches minimum when $p = q$. Due to this
+/ the fact the $D(q||p)$ reaches minimum when $p = q$. Due to this
reasoning of the naming, EM is also a kind of VI, even though in the
literature VI often referes to its fully Bayesian version.