Training PIXIE amounts to inferring the posterior over the visual latent factors, p θ (z|x, y), as well as finding the decoder's parameters θ, the word and context embeddings, e and v, that maximize the likelihood (6).
as in many complex probabilistic models, the likelihood (due to the integral over z) and the posterior are intractable.