A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models

6 November 2014

Papers citing "A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models"

6 / 6 papers shown

Title
On consistency of constrained spectral clustering under representation-aware stochastic block model Shubham Gupta Ambedkar Dukkipati 47 1 0 03 Mar 2022
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
Consistent nonparametric estimation for heavy-tailed sparse graphs C. Borgs J. Chayes Henry Cohn S. Ganguly 31 25 0 26 Aug 2015
A goodness-of-fit test for stochastic block models Jing Lei 35 180 0 16 Dec 2014
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 94 191 0 11 Oct 2012
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 71 220 0 04 Jul 2012