There are lots of explanations on DGM (Deep Generative Model) and generative classifier (most of the explanations on which are about generative classifier vs discriminative classifier)
But, I can hardly find the common parts between the two concepts. In my understanding, 'generative' from DGM is quite straightforward - it almost goes the same with its literal meaning. In the contrary, 'generative' from the comparisons with the discriminative model is a little bit technical but it's the one that took the word earlier than the former one. (Jordan and Ng, 2002).
Is it just that these two concepts are not really unrelated? Were they just used just because they do produce some distributions while learning?