research
∙
07/01/2021
Sparse GCA and Thresholded Gradient Descent
Generalized correlation analysis (GCA) is concerned with uncovering line...
share
research
∙
04/07/2021
Community Detection with Contextual Multilayer Networks
In this paper, we study community detection when we observe m sparse net...
research
∙
12/02/2020
Global and Individualized Community Detection in Inhomogeneous Multilayer Networks
In network applications, it has become increasingly common to obtain dat...
research
∙
08/04/2020
Community detection in sparse latent space models
We show that a simple community detection algorithm originated from stoc...
research
∙
03/29/2020
Nonconvex Matrix Completion with Linearly Parameterized Factors
Techniques of matrix completion aim to impute a large portion of missing...
research
∙
10/28/2019
Testing Equivalence of Clustering
In this paper, we test whether two datasets share a common clustering st...
research
∙
11/19/2018
Efficient random graph matching via degree profiles
Random graph matching refers to recovering the underlying vertex corresp...
research
∙
11/14/2018
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
This paper surveys some recent developments in fundamental limits and op...
research
∙
04/02/2018
Asymptotic normality and analysis of variance of log-likelihood ratios in spiked random matrix models
The present manuscript studies signal detection by likelihood ratio test...
research
∙
05/05/2017
Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting
Latent space models are effective tools for statistical modeling and exp...
research
∙
07/24/2016
Community Detection in Degree-Corrected Block Models
Community detection is a central problem of network data analysis. Given...
research
∙
12/01/2015
Optimal Estimation and Completion of Matrices with Biclustering Structures
Biclustering structures in data matrices were first formalized in a semi...
research
∙
11/21/2015
Kernel Additive Principal Components
Additive principal components (APCs for short) are a nonlinear generaliz...
research
∙
06/10/2015
Optimal Rates of Convergence for Noisy Sparse Phase Retrieval via Thresholded Wirtinger Flow
This paper considers the noisy sparse phase retrieval problem: recoverin...
research
∙
05/14/2015