Bayesian neural networks and dimensionality reduction

Deborshee Sen, Theodore Papamarkou, David Dunson

In conducting non-linear dimensionality reduction and feature learning, it is common to suppose that the data lie near a lower-dimensional manifold. A class of model-based approach…