Etienne Boursier
Scholar

Etienne Boursier

Google Scholar ID: -9todDUAAAAJ
INRIA Saclay
Machine LearningStatisticsGame Theory
Citations & Impact
All-time
Citations
600
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Background
  • Researcher in the CELESTE team at INRIA Paris-Saclay, based at Laboratoire de Mathématiques d’Orsay
  • Focuses on theoretical aspects of machine learning, especially theoretical understanding of neural networks
  • Explores connections between online learning and game theory
  • Studies multi-agent learning by combining (online) learning with game-theoretical tools
  • Primarily works on the Multiplayer Multi-armed bandits problem