2019
Dimensionality reduction: theoretical perspective on practical measures
NeurIPS 2019poster
Dimensionality reduction plays a central role in real-world applications for Machine Learning, among many fields. In particular, metric dimensionality reduction where data from a general metric is mapped into low dimensional space, is often used as a first step before applying machine learning algo…