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20112023
most citedThe sparse Laplacian shrinkage estimator for high-dimensional regression

86 citations · 112 across the 6 of their papers we have counts for

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6 papers

stat.ML2023★ 2 cited

Transfer Learning with Random Coefficient Ridge Regression

Hongzhe Zhang, Hongzhe Li

Ridge regression with random coefficients provides an important alternative to fixed coefficients regression in high dimensional setting when the effects are expected to be small b…

stat.ML2022★ 1 cited

Transfer Learning for Contextual Multi-armed Bandits

Changxiao Cai, T. Tony Cai, Hongzhe Li

Motivated by a range of applications, we study in this paper the problem of transfer learning for nonparametric contextual multi-armed bandits under the covariate shift model, wher…

math.ST2019★ 8 cited

Optimal Estimation of Bacterial Growth Rates Based on Permuted Monotone Matrix

Rong Ma, T. Tony Cai, Hongzhe Li

Motivated by the problem of estimating the bacterial growth rates for genome assemblies from shotgun metagenomic data, we consider the permuted monotone matrix model , wher…

math.ST2018★ 13 cited

Two-sample Test of Community Memberships of Weighted Stochastic Block Models

Yezheng Li, Hongzhe Li

Suppose two networks are observed for the same set of nodes, where each network is assumed to be generated from a weighted stochastic block model. This paper considers the problem…

stat.AP2013★ 2 cited

Learning local directed acyclic graphs based on multivariate time series data

Wanlu Deng, Zhi Geng, Hongzhe Li

Multivariate time series (MTS) data such as time course gene expression data in genomics are often collected to study the dynamic nature of the systems. These data provide importan…

math.ST2011★ 86 cited

The sparse Laplacian shrinkage estimator for high-dimensional regression

Jian Huang, Shuangge Ma, Hongzhe Li +1

We propose a new penalized method for variable selection and estimation that explicitly incorporates the correlation patterns among predictors. This method is based on a combinatio…