tokens: This is interesting for the reason that the continual mechanism is similar to SVI methods in GPs but using analytic gradients instead ( use of stochastic VI implies noisy gradient vectors depending on the size of mini - batches and the learning rate hyperparameter ) and it is also flexible to an irregular size of batches .