Multi-Way, Multi-View Learning
Multidimensional Scaling in the Poincaré Disk
Multiple Change-Point Estimation in Stationary Ergodic Time-Series
Multiple Gaussian Process Models
Multiple Hypothesis Testing in Pattern Discovery
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint
Multiple Operator-valued Kernel Learning
Natural Evolution Strategies
Neyman-Pearson classification, convexity and stochastic constraints
Node harvest
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Nominal Association Vector and Matrix
Non-parametric Link Prediction
On a Rapid Simulation of the Dirichlet Process
On approximation of smoothing probabilities for hidden Markov models
On Identifying Significant Edges in Graphical Models
On landmark selection and sampling in high-dimensional data analysis
On l_1 Mean and Variance Filtering
On Nonparametric Guidance for Learning Autoencoder Representations
On Ranking Senators By Their Votes