activity
20162020
most citedMinimal Exploration in Structured Stochastic Bandits

79 citations · 90 across the 7 of their papers we have counts for

collaborators

8 papers

cs.LO2020

Solving Random Parity Games in Polynomial Time

Richard Combes, Mikael Touati

We consider the problem of solving random parity games. We prove that parity games exibit a phase transition threshold above , so that when the degree of the graph that define…

stat.ML20199 cited

Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling

Cindy Trinh, Emilie Kaufmann, Claire Vernade +1

Stochastic Rank-One Bandits (Katarya et al, (2017a,b)) are a simple framework for regret minimization problems over rank-one matrices of arms. The initially proposed algorithms are…

cs.IT20181 cited

Device-to-Device Aided Multicasting

Thomas Varela Santana, Richard Combes, Mari Kobayashi

We consider a device-to-device (D2D) aided multicast channel, where a transmitter wishes to convey a common message to many receivers and these receivers cooperate with each other.…

cs.IT20181 cited

Utility Optimal Scheduling for Coded Caching in General Topologies

Richard Combes, Asma Ghorbel, Mari Kobayashi +1

We consider coded caching over the fading broadcast channel, where the users, equipped with a memory of finite size, experience asymmetric fading statistics. It is known that a nai…

stat.ML201779 cited

Minimal Exploration in Structured Stochastic Bandits

Richard Combes, Stefan Magureanu, Alexandre Proutiere

This paper introduces and addresses a wide class of stochastic bandit problems where the function mapping the arm to the corresponding reward exhibits some known structural propert…

cs.IT2017

An Approximate ML Detector for MIMO Channels Corrupted by Phase Noise

Richard Combes, Sheng Yang

We consider the multiple-input multiple-output (MIMO) communication channel impaired by phase noises at both the transmitter and receiver. We focus on the maximum likelihood (ML) d…