Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten
Diffusion Maps, Spectral Clustering and Reaction Coordinates of Dynamical Systems
Kernel Methods
Kernel Methods
Machine Learning in Computational Biology (the frequentist approach)
Laplace operators and regularization Fast algorithms for translation invariant and dot product kernels
Topics in Theoretical Computer Science: An Algorithmist's Toolkit
Nonlinear functional regression: A functional RKHS approach
Kernel Representations and Kernel Density Estimation
Manifold Boost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning