Stat-Ml
Hilbert space embeddings and metrics on probability measures
Causal Inference on Discrete Data using Additive Noise Models
Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs
Visualizing Topics with Multi-Word Expressions
A path algorithm for the Fused Lasso Signal Approximator
Regularization Techniques for Learning with Matrices
On approximation of smoothing probabilities for hidden Markov models
Sparsification and feature selection by compressive linear regression
Node harvest
Statistical Decision Making for Authentication and Intrusion Detection
Context tree selection and linguistic rhythm retrieval from written texts
Ultrametric Wavelet Regression of Multivariate Time Series: Application to Colombian Conflict Analysis
A Geometric Approach to Sample Compression
Likelihood-based semi-supervised model selection with applications to speech processing
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation
An Iterative Algorithm for Fitting Nonconvex Penalized Generalized Linear Models with Grouped Predictors
Online Multi-task Learning with Hard Constraints
Supplementary material for Markov equivalence for ancestral graphs
Percolation Thresholds of Updated Posteriors for Tracking Causal Markov Processes in Complex Networks
Dual Augmented Lagrangian Method for Efficient Sparse Reconstruction
Getting started in probabilistic graphical models
Variational inference for large-scale models of discrete choice
