Commit 31318be2 by Philipp Arras

### Typo

parent 8075b373
Pipeline #105565 passed with stages
in 33 minutes and 19 seconds
 ... @@ -56,7 +56,7 @@ Geometric Variational Inference (geoVI) ... @@ -56,7 +56,7 @@ Geometric Variational Inference (geoVI) For non-linear posterior distributions :math:\mathcal{P}(\xi|d) an approximation with a Gaussian :math:\mathcal{Q}(\xi) in the coordinates :math:\xi is sub-optimal, as higher order interactions are ignored. For non-linear posterior distributions :math:\mathcal{P}(\xi|d) an approximation with a Gaussian :math:\mathcal{Q}(\xi) in the coordinates :math:\xi is sub-optimal, as higher order interactions are ignored. A better approximation can be achieved by constructing a coordinate system :math:y = g\left(\xi\right) in which the posterior is close to a Gaussian, and perform VI with a Gaussian :math:\mathcal{Q}(y) in these coordinates. A better approximation can be achieved by constructing a coordinate system :math:y = g\left(\xi\right) in which the posterior is close to a Gaussian, and perform VI with a Gaussian :math:\mathcal{Q}(y) in these coordinates. This approach is called Geometric Variation Inference (geoVI). This approach is called Geometric Variational Inference (geoVI). It is discussed in detail in [2]_. It is discussed in detail in [2]_. One useful coordinate system is obtained in case the metric :math:M of the posterior can be expressed as the pullback of the Euclidean metric by :math:g: One useful coordinate system is obtained in case the metric :math:M of the posterior can be expressed as the pullback of the Euclidean metric by :math:g: ... ...
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