Machine Learning Tutorial: Probabilistic Dimensionality Reduction


at Imperial College, U.K. on Mar 11, 2015 [pdf]
Neil D. Lawrence, University of Sheffield



In this tutorial we will present probabilistic approaches to dimensionality reduction based on latent variable models. We will motivate dimensionality reduction and then start with principal component analysis and extend it to include non linear approaches to reducing the dimension of data.