activity
20102019
most citedAccurate Community Detection in the Stochastic Block Model via Spectral Algorithms

64 citations · 219 across the 10 of their papers we have counts for

collaborators

9 papers

cs.SI201464 cited

Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms

Se-Young Yun, Alexandre Proutiere

We consider the problem of community detection in the Stochastic Block Model with a finite number of communities of sizes linearly growing with the network size . This model…

cs.SI2014

Emergent Behaviors over Signed Random Dynamical Networks: Relative-State-Flipping Model

Guodong Shi, Alexandre Proutiere, Mikael Johansson +2

We study asymptotic dynamical patterns that emerge among a set of nodes interacting in a dynamically evolving signed random network, where positive links carry out standard consens…

cs.SI201412 cited

Streaming, Memory Limited Algorithms for Community Detection

Se-Young Yun, Marc Lelarge, Alexandre Proutiere

In this paper, we consider sparse networks consisting of a finite number of non-overlapping communities, i.e. disjoint clusters, so that there is higher density within clusters tha…

quant-ph201410 cited

Feedback Policies for Measurement-based Quantum State Manipulation

Shuangshuang Fu, Guodong Shi, Alexandre Proutiere +1

In this paper, we propose feedback designs for manipulating a quantum state to a target state by performing sequential measurements. In light of Belavkin's quantum feedback control…

cs.LG201413 cited

Unimodal Bandits without Smoothness

Richard Combes, Alexandre Proutiere

We consider stochastic bandit problems with a continuous set of arms and where the expected reward is a continuous and unimodal function of the arm. No further assumption is made r…

cs.LG201442 cited

Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms

Richard Combes, Alexandre Proutiere

We consider stochastic multi-armed bandits where the expected reward is a unimodal function over partially ordered arms. This important class of problems has been recently investig…