Scholar
Etienne Boursier
Google Scholar ID: -9todDUAAAAJ
INRIA Saclay
Machine Learning
Statistics
Game Theory
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Homepage
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Citations & Impact
All-time
Citations
600
H-index
12
i10-index
14
Publications
20
Co-authors
27
list available
Contact
Email
etienne.boursier@inria.fr
CV
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GitHub
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Publications
10 items
Test-then-Punish: A Statistical Approach to Repeated Games
2026
Cited
0
Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective
2025
Cited
0
Benignity of loss landscape with weight decay requires both large overparametrization and initialization
2025
Cited
0
Online Decision-Focused Learning
2025
Cited
0
Learning Contracts in Hierarchical Multi-Agent Systems
2025
Cited
0
Prediction-Aware Learning in Multi-Agent Systems
2025
Cited
0
Simplicity bias and optimization threshold in two-layer ReLU networks
arXiv.org · 2024
Cited
4
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality
2024
Cited
1
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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
Co-authors
27 total
Vianney Perchet
Crest, ENSAE & Criteo AI Lab
Nicolas Flammarion
EPFL
Alain Durmus
Ecole polytechnique
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Eric Moulines
Professeur, Ecole Polytechnique, Membre de l'Académie des Sciences
Antoine Scheid
PhD student, Ecole polytechnique
Aymeric Capitaine
Ecole Polytechnique, CMAP
Emilie Kaufmann
CNRS & Univ. Lille (CRIStAL)
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