noted that prediction step is incomplete (doesn't take parameter uncertainty into account)
argued that always several gradient steps need to be taken, because when evaluated at the predicted mean the gradient of the prediction density is 0 such that prediction uncertainty is ignored
generalised to different initial values of update gradients after noticing that initialisation to mean of previous posterior may be better