Stat-Ml
Concept-based Recommendations for Internet Advertisement
Text Data Mining: Theory and Methods
Evolutionary Inference for Function-valued Traits: Gaussian Process Regression on Phylogenies
On the Distribution of Penalized Maximum Likelihood Estimators: The LASSO, SCAD, and Thresholding
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics
Online Learning via Sequential Complexities
Implementing regularization implicitly via approximate eigenvector computation
Graphical Models as Block-Tree Graphs
Generative and Latent Mean Map Kernels
Improving the Johnson-Lindenstrauss Lemma
Introduction to Graphical Modelling
Smoothing proximal gradient method for general structured sparse regression
Characterization of differentially expressed genes using high-dimensional co-expression networks
Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach
Tight Sample Complexity of Large-Margin Learning
Leaders, Followers, and Community Detection
Classifying Clustering Schemes
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Variational approximation for heteroscedastic linear models and matching pursuit algorithms
Regularization for Coxs proportional hazards model with NP-dimensionality
New Null Space Results and Recovery Thresholds for Matrix Rank Minimization
Model Selection by Loss Rank for Classification and Unsupervised Learning
