activity
20062022
most citedOn optimality of Bayesian testimation in the normal means problem

52 citations · 190 across the 24 of their papers we have counts for

collaborators

35 papers

stat.ML2022★ 2 cited

Sparse Subspace Clustering in Diverse Multiplex Network Model

Majid Noroozi, Marianna Pensky

The paper considers the DIverse MultiPLEx (DIMPLE) network model, introduced in Pensky and Wang (2021), where all layers of the network have the same collection of nodes and are eq…

stat.ME2021★ 3 cited

Clustering of Diverse Multiplex Networks

Marianna Pensky, Yaxuan Wang

The paper introduces the DIverse MultiPLEx Generalized Dot Product Graph (DIMPLE-GDPG) network model where all layers of the network have the same collection of nodes and follow th…

stat.ML2021★ 8 cited

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…

stat.ML2020

The Hierarchy of Block Models

Majid Noroozi, Marianna Pensky

There exist various types of network block models such as the Stochastic Block Model (SBM), the Degree Corrected Block Model (DCBM), and the Popularity Adjusted Block Model (PABM).…

stat.ML2019★ 8 cited

Sparse Popularity Adjusted Stochastic Block Model

Majid Noroozi, Marianna Pensky, Ramchandra Rimal

In the present paper we study a sparse stochastic network enabled with a block structure. The popular Stochastic Block Model (SBM) and the Degree Corrected Block Model (DCBM) addre…

math.ST2019★ 2 cited

Estimation and Clustering in Popularity Adjusted Stochastic Block Model

Majid Noroozi, Ramchandra Rimal, Marianna Pensky

The paper considers the Popularity Adjusted Block model (PABM) introduced by Sengupta and Chen (2018). We argue that the main appeal of the PABM is the flexibility of the spectral…