Stat-Ml
Online Learning: Beyond Regret
Structured Sparse Principal Component Analysis
Online Learning for Matrix Factorization and Sparse Coding
A tutorial on conformal prediction
Initialization Free Graph Based Clustering
Degenerating families of dendrograms
Which graphical models are difficult to learn?
Sure independence screening in generalized linear models with NP-dimensionality
From Data to the p-Adic or Ultrametric Model
Local Optimality of User Choices and Collaborative Competitive Filtering
Balanced Reduction of Nonlinear Control Systems in Reproducing Kernel Hilbert Space
The Degrees of Freedom of Partial Least Squares Regression
Hybrid Linear Modeling via Local Best-fit Flats
Sparse partial least squares for on-line variable selection in multivariate data streams
Regularization Strategies and Empirical Bayesian Learning for MKL
An Exponential Lower Bound on the Complexity of Regularization Paths
Nonparametric Bayesian sparse factor models with application to gene expression modeling
Classifying extremely imbalanced data sets
A sticky HDP-HMM with application to speaker diarization
Inference of global clusters from locally distributed data
Fast Sparse Decomposition by Iterative Detection-Estimation
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
