Hashing Algorithms for Large-Scale Learning

Heavy-Tailed Processes for Selective Shrinkage

Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data

Hierarchical structure and the prediction of missing links in networks

High Dimensional Nonlinear Learning using Local Coordinate Coding

High Dimensional Semiparametric Gaussian Copula Graphical Models

High-dimensional additive modeling

High-dimensional covariance estimation based on Gaussian graphical models

High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence

High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso

High-dimensional Graphical Model Search with gRapHD R Package

High-Dimensional Structure Estimation in Ising Models: Local Separation Criterion

High-dimensional subset recovery in noise: Sparsified measurements without loss of statistical efficiency

High-dimensional variable selection for Cox's proportional hazards model

Hilbert space embeddings and metrics on probability measures

How slow is slow? SFA detects signals that are slower than the driving force

How the initialization affects the stability of the k-means algorithm

How the result of graph clustering methods depends on the construction of the graph

How to Explain Individual Classification Decisions