Learned proposals in trans-dimensional inference are optimal at equilibrium, not during assembly

Argyro Sasli, Nikolaos Karnesis, Minas Karamanis +5

Inferring the dimension of a model - the number of components needed to explain data - jointly with the parameters is a pervasive problem, from counting sources in an image to mixt…