Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: A Sure Screening Approach

Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis

Unified Treatment of Hidden Markov Switching Models

Union Support Recovery in Multi-task Learning

Universality, Characteristic Kernels and RKHS Embedding of Measures

Unsupervised K-Nearest Neighbor Regression

UPAL: Unbiased Pool Based Active Learning

Using Supervised Learning to Improve Monte Carlo Integral Estimation

Variable importance in binary regression trees and forests

Variable Selection in High Dimensions with Random Designs and Orthogonal Matching Pursuit

Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency

Variational Gaussian Process Dynamical Systems

Variational Inducing Kernels for Sparse Convolved Multiple Output Gaussian Processes

Visualization of Manifold-Valued Elements by Multidimensional Scaling

Visualizing Topics with Multi-Word Expressions

Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm

Which graphical models are difficult to learn?