Scholar
Etienne Boursier
Google Scholar ID: -9todDUAAAAJ
INRIA Saclay
Machine Learning
Statistics
Game Theory
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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
Open ↗
GitHub
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Publications
15 items
Softmax Attention on Gaussian Mixtures: Linear When It Can, Selective When It Must
2026
Cited
0
Two-Timescale Fine-tuning Provably Learns New Features for Two-Layer ReLU Networks
2026
Cited
0
Statistical Benefits of Fine-Tuning from Pretrained Initialization in Diagonal Linear Networks
2026
Cited
0
Minimal-Norm Univariate Two-Layer ReLU Classification: Exact Solutions and Global Optimality with Skip Connections
2026
Cited
0
Mildly Overparameterized ReLU Networks on Orthogonal Data: Incremental Learning and Implicit Bias
2026
Cited
0
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
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Resume
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
20 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)