activity
20092022
most citedTensor Regression with Applications in Neuroimaging Data Analysis

576 citations · 1k across the 23 of their papers we have counts for

collaborators
Showing 2012Show all

6 papers · 1 filter

math.OC2012★ 41 cited

Distance Majorization and Its Applications

Eric C. Chi, Hua Zhou, Kenneth Lange

The problem of minimizing a continuously differentiable convex function over an intersection of closed convex sets is ubiquitous in applied mathematics. It is particularly interest…

stat.ME2012★ 222 cited

Regularized Matrix Regression

Hua Zhou, Lexin Li

Modern technologies are producing a wealth of data with complex structures. For instance, in two-dimensional digital imaging, flow cytometry, and electroencephalography, matrix typ…

stat.ME2012★ 576 cited

Tensor Regression with Applications in Neuroimaging Data Analysis

Hua Zhou, Lexin Li, Hongtu Zhu

Classical regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. Modern applications in medical imaging generate covariates…

math.NA2012

Path Following in the Exact Penalty Method of Convex Programming

Hua Zhou, Kenneth Lange

Classical penalty methods solve a sequence of unconstrained problems that put greater and greater stress on meeting the constraints. In the limit as the penalty constant tends to $…

stat.CO2012★ 2 cited

A Generic Path Algorithm for Regularized Statistical Estimation

Hua Zhou, Yichao Wu

Regularization is widely used in statistics and machine learning to prevent overfitting and gear solution towards prior information. In general, a regularized estimation problem mi…

stat.CO2012★ 12 cited

Path Following and Empirical Bayes Model Selection for Sparse Regression

Hua Zhou, Artin Armagan, David B. Dunson

In recent years, a rich variety of regularization procedures have been proposed for high dimensional regression problems. However, tuning parameter choice and computational efficie…