most citedRobust Regularized Low-Rank Matrix Models for Regression and Classification

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

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2 papers

stat.ML2022★ 1 cited

Robust Regularized Low-Rank Matrix Models for Regression and Classification

Hsin-Hsiung Huang, Feng Yu, Xing Fan +1

While matrix variate regression models have been studied in many existing works, classical statistical and computational methods for the analysis of the regression coefficient esti…

stat.ML2021

ALMA: Alternating Minimization Algorithm for Clustering Mixture Multilayer Network

Xing Fan, Marianna Pensky, Feng Yu +1

The paper considers a Mixture Multilayer Stochastic Block Model (MMLSBM), where layers can be partitioned into groups of similar networks, and networks in each group are equipped w…