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Update.
author
François Fleuret
<francois@fleuret.org>
Sun, 25 Feb 2024 09:21:37 +0000
(10:21 +0100)
committer
François Fleuret
<francois@fleuret.org>
Sun, 25 Feb 2024 09:21:37 +0000
(10:21 +0100)
elbo.tex
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b/elbo.tex
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elbo.tex
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+91,9
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Fran\c cois Fleuret
\end{center}
-Given
a training i.i.d train samples $x_1, \dots, x_N$ that follows a
n
-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 unknow
n
+distribution $\mu_X$, we want to fit a model $p_\theta(x,z)$ to it,
+maximizing
%
\[
\sum_n \log \, p_\theta(x_n).