190 citations · 657 across the 32 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2018★ 3 cited
Efficient inference in stochastic block models with vertex labels
Clara Stegehuis, Laurent Massoulié
We study the stochastic block model with two communities where vertices contain side information in the form of a vertex label. These vertex labels may have arbitrary label distrib…
stat.ML2015
Reconstruction in the Labeled Stochastic Block Model
Marc Lelarge, Laurent Massoulié, Jiaming Xu
The labeled stochastic block model is a random graph model representing networks with community structure and interactions of multiple types. In its simplest form, it consists of t…
stat.ML2015★ 3 cited
Clustering and Inference From Pairwise Comparisons
Rui Wu, Jiaming Xu, R. Srikant +3
Given a set of pairwise comparisons, the classical ranking problem computes a single ranking that best represents the preferences of all users. In this paper, we study the problem…