Lingsong Zhang

Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models

The contrastive divergence algorithm is a popular approach to training energy-based latent variable models, which has been widely used in many machine learning models such as the restricted Boltzmann machines and deep belief nets. Despite its empirical success, the contrastive divergence algorithm i…