X-Git-Url: https://www.fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=tex.git;a=blobdiff_plain;f=elbo.tex;fp=elbo.tex;h=fe91565f8fa6d21c72fee5ef2b87de8006efc3b3;hp=175019c5e7d51d55a4a6d01fc4caede268b721aa;hb=05c0721d2f8b578a8a27ed2085dc9812d2249f88;hpb=44313fda41b14cbb410ee9aa1363b0e4ff18f0b7

diff --git a/elbo.tex b/elbo.tex
index 175019c..fe91565 100644
--- a/elbo.tex
+++ b/elbo.tex
@@ -91,9 +91,9 @@ Fran\c cois Fleuret
 
 \end{center}
 
-Given a training i.i.d train samples $x_1, \dots, x_N$ that follows an
-unknown distribution $\mu_X$, we want to fit a model $p_\theta(x,z)$
-to it, maximizing
+Given i.i.d training samples $x_1, \dots, x_N$ that follows an unknown
+distribution $\mu_X$, we want to fit a model $p_\theta(x,z)$ to it,
+maximizing
 %
 \[
 \sum_n \log \, p_\theta(x_n).