Stat-Ml
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text
Neural Networks for Complex Data
Algorithms and Complexity Results for Exact Bayesian Structure Learning
Graphical Modelling in Genetics and Systems Biology
Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem
Survey on Sparse Coded Features for Content Based Face Image Retrieval
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Mean-Field Learning: a Survey
Nonparametric Bayes Pachinko Allocation
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework
A History of Cluster Analysis Using the Classification Societys Bibliography Over Four Decades
Efficient Point-to-Subspace Query in $ell^1$ with Application to Robust Object Instance Recognition
Uniform random generation of large acyclic digraphs
Multidimensional counting grids: Inferring word order from disordered bags of words
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
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
