High-dimensional data is ubiquitous in modern information systems, yet most of its
intrinsic structure lives in far fewer dimensions. This talk explores the theoretical
foundations of manifold learning and the optimization principles that underpin
dimensionality reduction... Read more about Optimizing Low-Dimensional Structure: Theory and Methods in Manifold Learning