Probabilistic Approaches for Computational Biology and Medicine
Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction
Large Networks, Clusters and Kronecker Products
Geometric Methods and Manifold Learning
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
A Tour of Modern "Image Processing"
Dimensionality Reduction
Topics in Mathematics of Data Science
Cheeger Cuts and p-Spectral Clustering
Diffusion Maps, Spectral Clustering and Reaction Coordinates of Dynamical Systems