Stat-Ml
The Graphical Lasso: New Insights and Alternatives
Learning a Factor Model via Regularized PCA
Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey
Learning to relate images: Mapping units, complex cells and simultaneous eigenspaces
On the trade-off between complexity and correlation decay in structural learning algorithms
Efficient Latent Variable Graphical Model Selection via Split Bregman Method
Asymptotically Independent Markov Sampling: a new MCMC scheme for Bayesian Inference
Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup
Group Lasso with Overlaps: the Latent Group Lasso approach
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Stable mixed graphs
Finding Non-overlapping Clusters for Generalized Inference Over Graphical Models
Edit wars in Wikipedia
Spectral approximations in machine learning
A Variational Bayes Approach to Decoding in a Phase-Uncertain Digital Receiver
Improving parameter learning of Bayesian nets from incomplete data
Discovering Emerging Topics in Social Streams via Link Anomaly Detection
Risk-sensitive Markov control processes
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
BSVM: A Banded Suport Vector Machine
On Learning Discrete Graphical Models Using Greedy Methods
Kernel Topic Models
