Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees

Learning mixed graphical models from data with p larger than n

Learning networks from high dimensional binary data: An application to genomic instability data

Learning Nonlinear Functions Using Regularized Greedy Forest

Learning object shapes from examples

Learning Planar Ising Models

Learning Sets with Separating Kernels

Learning sparse gradients for variable selection and dimension reduction

Learning the Structure of Deep Sparse Graphical Models

Learning with Structured Sparsity

Least Absolute Gradient Selector: Statistical Regression via Pseudo-Hard Thresholding

Least angle and $\ell_1$ penalized regression: A review

Least square spline decomposition in time-frequency analysis of weather radar signals

Least Squares and Shrinkage Estimation under Bimonotonicity Constraints

Least Squares estimation of two ordered monotone regression curves

Least squares inversion of self-potential (SP) data and application to the shallow flow of ground water in sinkholes

Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise

Least-Squares Joint Diagonalization of a matrix set by a congruence transformation

Lectures from the European RTN Winter School on Strings, Supergravity and Gauge Fields, CERN, 15 19 January 2007

Lectures from the European RTN Winter School on Strings, Supergravity and Gauge Theories, CERN, 16 20 January, 2006