Stat-Ml
Local Structure Discovery in Bayesian Networks
Parallel MCMC with Generalized Elliptical Slice Sampling
Hyperplane Arrangements and Locality-Sensitive Hashing with Lift
Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs
Role Mining with Probabilistic Models
A Practical Algorithm for Topic Modeling with Provable Guarantees
Optimal Time Bounds for Approximate Clustering
Interpolating Conditional Density Trees
Focus of Attention for Linear Predictors
A Plea for Neutral Comparison Studies in Computational Sciences
Small-sample Brain Mapping: Sparse Recovery on Spatially Correlated Designs with Randomization and Clustering
Distributed optimization of deeply nested systems
The Author-Topic Model for Authors and Documents
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences
Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery
Learning to Identify Regular Expressions that Describe Email Campaigns
(weak) Calibration is Computationally Hard
Collaborative Filtering and the Missing at Random Assumption
Co-clustering separately exchangeable network data
Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design
A Non-Parametric Bayesian Method for Inferring Hidden Causes
Large Scale Variational Bayesian Inference for Structured Scale Mixture Models
