A Factor Model for Learning Higher Order Features in Natural Images
Scalable Tensor Decompositions for Learning Hidden Variable Models
Event Detection
Probabilistic Approaches for Computational Biology and Medicine
Spectral Dimensionality Reduction via Maximum Entropy, incl. discussion by Laurens van der Maaten
Numerical Computation for Mechanical Engineers
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Neural Networks
Topics in Mathematics of Data Science
Gaussian Processes