From 73441883d96685ecc9d837a8834da73c92ab276a Mon Sep 17 00:00:00 2001
From: Yuchen Pei <me@ypei.me>
Date: Wed, 20 Feb 2019 13:58:42 +0100
Subject: fixed issue #1.

---
 posts/2019-02-14-raise-your-elbo.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/posts/2019-02-14-raise-your-elbo.md b/posts/2019-02-14-raise-your-elbo.md
index 34e7386..5d4c2dd 100644
--- a/posts/2019-02-14-raise-your-elbo.md
+++ b/posts/2019-02-14-raise-your-elbo.md
@@ -172,7 +172,7 @@ $$\begin{aligned}
 &= \text{argmax}_\theta \sum_i \mathbb E_{p(z_{i} | x_{i}; \theta_t)} \log p(x_{i}, z_{i}; \theta) \qquad (2.3)
 \end{aligned}$$
 
-So $\sum_i L(p(x_{i}), z_{i}; \theta)$ is non-decreasing at both the
+So $\sum_i L(p(x_{i}, z_{i}; \theta), q(z_i)$ is non-decreasing at both the
 E-step and the M-step.
 
 We can see from this derivation that EM is half-Bayesian. The E-step is
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