
Richard COMBES
Associate Professor / CentraleSupélec
richard.combes@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Asymptotic Capacity of 1-bit MIMO Fading Channels
Toward Specialized Wireless Networks Using an ML-Driven Radio Interface
Data Detection in 1-bit Quantized MIMO Systems
Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits
Unimodal Bandits with Continuous Arms: Order-optimal Regret without Smoothness
Performance Analysis of Device-to-Device Aided Multicasting in General Network Topologies
Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain
Hierarchical Beamforming: Resource Allocation, Fairness and Flow Level Performance
Hierarchical beamforming: Resource allocation, fairness and flow level performance
The Bandit Channel
Linear Bandits on Ellipsoids: Minimax Optimal Algorithms
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
An Extension of Mcdiarmid’s Inequality
Asymptotic Capacity of Non-Coherent One-Bit MIMO Channels with Block Fading
Aloha, police d’états: Un contrôle d’admission implicite ?
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
Towards optimal algorithms for multi-player bandits without collision sensing information
On the Suboptimality of Thompson Sampling in High Dimensions
Statistically Efficient, Polynomial-Time Algorithms for Combinatorial Semi-Bandits
Overcoming the Technical Hurdles of IoT Adoption: the FITNESS Project Vision and Insights
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
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