Data Science, Variational Inference.
data. Traditional methods can struggle in high dimensions, where computation can be slow and inefficient. Thus practitioners are sometimes willing to approximate the posterior to increase its tractability; this is called variational inference (VI). Pooladian and his co-authors developed an analysis