Stat-Ml
A Multiscale Framework for Challenging Discrete Optimization
Directed Time Series Regression for Control
Machine Learning that Matters
Using Wikipedia to Boost SVD Recommender Systems
A LASSO-Penalized BIC for Mixture Model Selection
Smoothing Proximal Gradient Method for General Structured Sparse Learning
Sparse Reward Processes
Continuous Time Dynamic Topic Models
A Comparative Study of Gaussian Mixture Model and Radial Basis Function for Voice Recognition
Polish to English Statistical Machine Translation
Discovery of non-gaussian linear causal models using ICA
Towards minimax policies for online linear optimization with bandit feedback
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Information-Theoretic Methods for Identifying Relationships among Climate Variables
Improved Dynamic Schedules for Belief Propagation
Classification Recouvrante Basee sur les Methodes `a Noyau
A Generalized Loop Correction Method for Approximate Inference in Graphical Models
Structured Priors for Structure Learning
Perturbation of the Eigenvectors of the Graph Laplacian: Application to Image Denoising
OpenGM: A C++ Library for Discrete Graphical Models
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization
A Model-Based Approach to Rounding in Spectral Clustering
