Introduction to Machine Learning
Large-Scale Clustering through Functional Embedding
Manifold Boost: Stagewise Function Approximation for Fully-, Semi- and Un-supervised Learning
Learning Representations: A Challenge for Learning Theory
Large-Scale Semi-Supervised Learning
What is cognitive science?
Dimensionality Reduction
On manifolds and autoencoders
Machine Learning in Computational Biology (the frequentist approach)
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten