Dirichlet Process Mixtures of Generalized Linear Models

Discovering Emerging Topics in Social Streams via Link Anomaly Detection

Discovering Graphical Granger Causality Using the Truncating Lasso Penalty

Discovering shared and individual latent structure in multiple time series

Discrete Temporal Models of Social Networks

Discriminant Analysis with Adaptively Pooled Covariance

Distance Dependent Chinese Restaurant Processes

Distance Dependent Infinite Latent Feature Models

Distance Transform Gradient Density Estimation using the Stationary Phase Approximation

Distinguishing Cause and Effect via Second Order Exponential Models

Distributed Robust Power System State Estimation

Dual Augmented Lagrangian Method for Efficient Sparse Reconstruction

Dynamic Large Spatial Covariance Matrix Estimation in Application to Semiparametric Model Construction via Variable Clustering: the SCE approach

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Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries

Efficient Bayesian Community Detection using Non-negative Matrix Factorisation

Efficient hierarchical clustering for continuous data

Efficient Latent Variable Graphical Model Selection via Split Bregman Method

Efficient Marginal Likelihood Computation for Gaussian Process Regression

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process