Topics in Mathematics of Data Science
Minimum Neighbor Distance Estimators of Intrinsic Dimension
Functional Maps: A Flexible Representation of Maps (with Applications)
Dimensionality Reduction
Statistical Learning Theory and Applications
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten
Statistical Computing on Manifolds for Computational Anatomy
On manifolds and autoencoders
Synthetic theory of Ricci curvature - when information theory, optimization, geometry and gradient flows meet
Dimensionality Reduction