In recent years, Variational Autoencoder (VAE) has been proved more effective and efficient to approximating deep, complex and underestimated variance in integrals (Kingma and Welling, 2013;He et al., 2017).
the VAE-based topic models focus on the construction of deep neural networks to approximate the § The two authors contributed equally to this work.