Rather, it is suggested that it is more important for topic modelling to use high-performance learning algorithms so that topics are learnt in correct proportions, in which case "junk" topics can easily be ignored (Buntine and Mishra, 2014).
it is likely that the previously-found performance advantage of HDP over LDA was actually due to properties of their respective Gibbs sampling algorithms.