118 citations · 405 across the 29 of their papers we have counts for
4 papers · 1 filter
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…
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…
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
Jung-hun Kim, Se-Young Yun, Minchan Jeong +3
We study contextual linear bandit problems under feature uncertainty, where the features are noisy and have missing entries. To address the challenges posed by this noise, we analy…
Opportunistic Content Delivery in Fading Broadcast Channels
Asma Ghorbel, Khac-Hoang Ngo, Richard Combes +2
We consider content delivery over fading broadcast channels. A server wants to transmit K files to K users, each equipped with a cache of finite size. Using the coded caching schem…