Richard COMBES

Associate Professor / CentraleSupélec

L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

Publications

Journal articles

2025

Asymptotic Capacity of 1-bit MIMO Fading Channels

Yang, Combes
IEEE Transactions on Information Theory, 71 (4), p. 2626-2641, 2025

Toward Specialized Wireless Networks Using an ML-Driven Radio Interface

Szczech, Wojnar, Kosek-Szott, Rusek, Szott, Marasinghe, Rajatheva, Combes, Wilhelmi, Jonsson, Bellalta
IEEE Access, 13, p. 141814-141831, 2025
2024

Data Detection in 1-bit Quantized MIMO Systems

Safa, Combes, de Lacerda, Yang
IEEE Transactions on Communications, 72 (9), p. 5396-5410, 2024
2021

Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits

Cuvelier, Combes, Gourdin
(POMACS), 5 (9), ACM, p. 1-31, 2021
2020

Unimodal Bandits with Continuous Arms: Order-optimal Regret without Smoothness

Combes, Proutière, Fauquette
(POMACS), 4 (1), ACM, p. 1-28, 2020

Performance Analysis of Device-to-Device Aided Multicasting in General Network Topologies

Santana, Combes, Kobayashi
IEEE Transactions on Communications, 68 (1), p. 137-149, 2020
2019

Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation

Combes, Ok, Proutiere, Yun, Yi
IEEE Transactions on Mobile Computing, 18 (5), p. 1145-1158, 2019

Computationally Efficient Estimation of the Spectral Gap of a Markov Chain

Combes, Touati
(POMACS), 3 (1), ACM, p. 1-21, 2019

Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance

Floquet, Combes, Altman
ACM SIGMETRICS Performance Evaluation Review, 46 (3), p. 70-71, 2019
2018

Hierarchical beamforming: Resource allocation, fairness and flow level performance

Floquet, Combes, Altman
Performance Evaluation, 127-128, p. 36-55, 2018

Conference papers

2025

The Bandit Channel

Zhang, Combes, Yang
2025 IEEE Information Theory Workshop (ITW), Sydney, France, 2025

Linear Bandits on Ellipsoids: Minimax Optimal Algorithms

Zhang, Hadiji, Combes
38th Annual Conference on Learning Theory (COLT 2025), Lyon, France, 2025
2024

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

Zhang, Combes
38. Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver, Canada, 2024

An Extension of Mcdiarmid’s Inequality

Combes
2024 IEEE International Symposium on Information Theory (ISIT), Athens, France, 2024

Asymptotic Capacity of Non-Coherent One-Bit MIMO Channels with Block Fading

Yang, Combes
2024 IEEE International Symposium on Information Theory (ISIT), Athens, France, 2024

Aloha, police d’états: Un contrôle d’admission implicite ?

Bonald, Combes, Mathieu
AlgoTel 2024 – 26èmes Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, Saint-Briac-sur-Mer, France, 2024
2023

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles

Kim, Yun, Jeong, Nam, Shin, Combes
AISTATS, Valencia, Espagne, 2023
2022

Towards optimal algorithms for multi-player bandits without collision sensing information

Huang, Combes, Trinh
COLT 2022: 35th Conference on Learning Theory, London, Royaume-Uni, 2022
2021

On the Suboptimality of Thompson Sampling in High Dimensions

Zhang, Combes
35th Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual Conference, France, 2021

Statistically Efficient, Polynomial-Time Algorithms for Combinatorial Semi-Bandits

Cuvelier, Combes, Gourdin
SIGMETRICS 2021, Virtual Event, Chine, 2021

Books

2025
Autres ouvrages scientifiques

Overcoming the Technical Hurdles of IoT Adoption: the FITNESS Project Vision and Insights

Cassiau, Achir, Adjih, Andrieux, Bechkit, Ben Hadj Said, Boissier, Bouferroum, Combes, Courrèges, Dakdouk, Dhaouadi, Diouris, Elayoubi, Härri, Kassi, Lagrange, Liu, Loscri, Mannoni, Maudet, Mitton, Mokdad, Moulay, Nadar, Nahon, Négrier, Nguyen, Pelov, Perrine, Pierre, Pillement, Pottier, Poulliat, Pousset, Rady, Sboui, Sondi, Toutain
2025

Patents and software

These/HDR