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Author: Red-Portal

docs/src/klminnaturalgraddescent.md

@@ -33,6 +33,7 @@ This algorithm aims to solve the problem
 ```math
   \mathrm{minimize}_{q_{\lambda} \in \mathcal{Q}}\quad \mathrm{KL}\left(q_{\lambda}, \pi\right)
 ```
+
 where $\mathcal{Q}$ is some family of distributions, often called the variational family, by running stochastic gradient descent in the (Euclidean) space of parameters.
 That is, for all $$q_{\lambda} \in \mathcal{Q}$$, we assume $$q_{\lambda}$$ there is a corresponding vector of parameters $$\lambda \in \Lambda$$, where the space of parameters is Euclidean such that $$\Lambda \subset \mathbb{R}^p$$.