Stat-Ml
Probabilistic coherence and proper scoring rules
Separating populations with wide data: A spectral analysis
Fast rates for support vector machines using Gaussian kernels
Supervised Machine Learning with a Novel Pointwise Density Estimator
Uncertainty quantification in complex systems using approximate solvers
A Bayesian Approach to Network Modularity
A Method for Compressing Parameters in Bayesian Models with Application to Logistic Sequence Prediction Models
High-dimensional variable selection
LLE with low-dimensional neighborhood representation
Classification of Cell Images Using MPEG-7-influenced Descriptors and Support Vector Machines in Cell Morphology
Induction of High-level Behaviors from Problem-solving Traces using Machine Learning Tools
Mixed Cumulative Distribution Networks
A Binary Control Chart to Detect Small Jumps
High-dimensional covariance estimation by minimizing $ell_1$-penalized log-determinant divergence
Mixed-Membership Stochastic Block-Models for Transactional Networks
Towards Stratification Learning through Homology Inference
A bagging SVM to learn from positive and unlabeled examples
Discovering shared and individual latent structure in multiple time series
Reading Dependencies from Covariance Graphs
Families of dendrograms
Learning from dependent observations
Random Projection Trees Revisited
