Boursier, Etienne

23 publications

NeurIPS 2025 A Theoretical Framework for Grokking: Interpolation Followed by Riemannian Norm Minimisation Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
AISTATS 2025 Approximate Information Maximization for Bandit Games Alex Barbier Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson, Etienne Boursier
JMLR 2025 Early Alignment in Two-Layer Networks Training Is a Two-Edged Sword Etienne Boursier, Nicolas Flammarion
ICML 2025 Prediction-Aware Learning in Multi-Agent Systems Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus
ICML 2025 Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks Etienne Boursier, Nicolas Flammarion
JMLR 2024 A Survey on Multi-Player Bandits Etienne Boursier, Vianney Perchet
AISTATS 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication Hugo Richard, Etienne Boursier, Vianney Perchet
ICLR 2024 First-Order ANIL Provably Learns Representations Despite Overparametrisation Oğuz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion
ICML 2024 Incentivized Learning in Principal-Agent Bandit Games Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus
NeurIPS 2024 Learning to Mitigate Externalities: The Coase Theorem with Hindsight Rationality Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
NeurIPS 2024 Unravelling in Collaborative Learning Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
NeurIPSW 2023 First-Order ANIL Provably Learns Representations Despite Overparametrisation Oğuz Yüksel, Etienne Boursier, Nicolas Flammarion
NeurIPS 2023 Penalising the Biases in Norm Regularisation Enforces Sparsity Etienne Boursier, Nicolas Flammarion
NeurIPS 2022 Gradient Flow Dynamics of Shallow ReLU Networks for Square Loss and Orthogonal Inputs Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion
ALT 2022 Social Learning in Non-Stationary Environments Etienne Boursier, Vianney Perchet, Marco Scarsini
COLT 2022 Trace Norm Regularization for Multi-Task Learning with Scarce Data Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion
NeurIPS 2021 Decentralized Learning in Online Queuing Systems Flore Sentenac, Etienne Boursier, Vianney Perchet
NeurIPS 2021 Making the Most of Your Day: Online Learning for Optimal Allocation of Time Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini
AISTATS 2020 A Practical Algorithm for Multiplayer Bandits When Arm Means Vary Among Players Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet
COLT 2020 Selfish Robustness and Equilibria in Multi-Player Bandits Etienne Boursier, Vianney Perchet
NeurIPS 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits Pierre Perrault, Etienne Boursier, Michal Valko, Vianney Perchet
AISTATS 2020 Utility/Privacy Trade-Off Through the Lens of Optimal Transport Etienne Boursier, Vianney Perchet
NeurIPS 2019 SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits Etienne Boursier, Vianney Perchet