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| author | Yuchen Pei <me@ypei.me> | 2019-02-14 10:11:38 +0100 | 
|---|---|---|
| committer | Yuchen Pei <me@ypei.me> | 2019-02-14 10:11:38 +0100 | 
| commit | be9623ade13d38335b291a0500f8f770166bb8fc (patch) | |
| tree | ab481469b28bd2e77f040e9928fced126f5cf0a9 /posts | |
| parent | 852b6957e9b36c9b3ae9c9a9478b83b3d6a143fa (diff) | |
minor
Diffstat (limited to 'posts')
| -rw-r--r-- | posts/2019-02-14-raise-your-elbo.md | 2 | 
1 files changed, 1 insertions, 1 deletions
| 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. | 
