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20072023
most citedMinimal Exploration in Structured Stochastic Bandits

79 citations · 519 across the 58 of their papers we have counts for

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Showing 2013Show all

7 papers · 1 filter

cs.SI2013★ 1 cited

Emergent Behaviors over Signed Random Networks in Dynamical Environments

Guodong Shi, Alexandre Proutiere, Mikael Johansson +2

We study asymptotic dynamical patterns that emerge among a set of nodes that interact in a dynamically evolving signed random network. Node interactions take place at random on a s…

eess.SY2013★ 1 cited

Randomized Consensus with Attractive and Repulsive Links

Guodong Shi, Alexandre Proutiere, Mikael Johansson +1

We study convergence properties of a randomized consensus algorithm over a graph with both attractive and repulsive links. At each time instant, a node is randomly selected to inte…

cs.NI2013

Stochastic Online Shortest Path Routing: The Value of Feedback

M. Sadegh Talebi, Zhenhua Zou, Richard Combes +2

This paper studies online shortest path routing over multi-hop networks. Link costs or delays are time-varying and modeled by independent and identically distributed random process…

cs.NI2013

Optimal Rate Sampling in 802.11 Systems

Richard Combes, Alexandre Proutiere, Donggyu Yun +2

In 802.11 systems, Rate Adaptation (RA) is a fundamental mechanism allowing transmitters to adapt the coding and modulation scheme as well as the MIMO transmission mode to the radi…

cs.SI2013★ 7 cited

The Evolution of Beliefs over Signed Social Networks

Guodong Shi, Alexandre Proutiere, Mikael Johansson +2

We study the evolution of opinions (or beliefs) over a social network modeled as a signed graph. The sign attached to an edge in this graph characterizes whether the corresponding…

cs.IT2013

Optimal Distributed Scheduling in Wireless Networks under the SINR interference model

Prasanna Chaporkar, Alexandre Proutiere

Radio resource sharing mechanisms are key to ensuring good performance in wireless networks. In their seminal paper \cite{tassiulas1}, Tassiulas and Ephremides introduced the Maxim…