Etienne Boursier

53 papers A* 14A 4B 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Test-then-Punish: A Statistical Approach to Repeated Games. CoRR Aymeric Capitaine, Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I. Jordan
2025	J	`jnl`	A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation. CoRR Etienne Boursier, Scott Pesme, Radu-Alexandru Dragomir
2025	A	`conf`	Approximate information maximization for bandit games. AISTATS Alex Barbier-Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson, Etienne Boursier
2025	J	`jnl`	Benignity of loss landscape with weight decay requires both large overparametrization and initialization. CoRR Etienne Boursier, Matthew Bowditch, Matthias Englert, Ranko Lazic
2025	J	`jnl`	Early Alignment in Two-Layer Networks Training is a Two-Edged Sword. J. Mach. Learn. Res. Etienne Boursier, Nicolas Flammarion
2025	J	`jnl`	Learning Contracts in Hierarchical Multi-Agent Systems. CoRR Antoine Scheid, Etienne Boursier, Alain Durmus, Eric Moulines, Michael I. Jordan
2025	J	`jnl`	Online Decision-Focused Learning. CoRR Aymeric Capitaine, Maxime Haddouche, Eric Moulines, Michael I. Jordan, Etienne Boursier, Alain Durmus
2025	A*	`conf`	Prediction-Aware Learning in Multi-Agent Systems. ICML Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus
2025	J	`jnl`	Prediction-Aware Learning in Multi-Agent Systems. CoRR Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
2025	A*	`conf`	Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks. ICML Etienne Boursier, Nicolas Flammarion
2025	J	`jnl`	Softmax as Linear Attention in the Large-Prompt Regime: a Measure-based Perspective. CoRR Etienne Boursier, Claire Boyer
2024	J	`jnl`	A Survey on Multi-player Bandits. J. Mach. Learn. Res. Etienne Boursier, Vianney Perchet
2024	A	`conf`	Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication. AISTATS Hugo Richard, Etienne Boursier, Vianney Perchet
2024	J	`jnl`	Early alignment in two-layer networks training is a two-edged sword. CoRR Etienne Boursier, Nicolas Flammarion
2024	A*	`conf`	First-order ANIL provably learns representations despite overparametrisation. ICLR Oguz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion
2024	A*	`conf`	Incentivized Learning in Principal-Agent Bandit Games. ICML Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus
2024	J	`jnl`	Incentivized Learning in Principal-Agent Bandit Games. CoRR Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El Mahdi El Mhamdi, Eric Moulines, Michael I. Jordan, Alain Durmus
2024	A*	`conf`	Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality. NeurIPS Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
2024	J	`jnl`	Mitigating Externalities while Learning: an Online Version of the Coase Theorem. CoRR Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
2024	J	`jnl`	Optimal Design for Reward Modeling in RLHF. CoRR Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I. Jordan, Pierre Ménard, Eric Moulines, Michal Valko
2024	J	`jnl`	Simplicity bias and optimization threshold in two-layer ReLU networks. CoRR Etienne Boursier, Nicolas Flammarion
2024	A*	`conf`	Unravelling in Collaborative Learning. NeurIPS Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
2024	J	`jnl`	Unravelling in Collaborative Learning. CoRR Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
2024	J	`jnl`	Utility/privacy trade-off as regularized optimal transport. Math. Program. Etienne Boursier, Vianney Perchet
2023	J	`jnl`	Approximate information maximization for bandit games. CoRR Alex Barbier-Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson, Etienne Boursier
2023	J	`jnl`	Constant or logarithmic regret in asynchronous multiplayer bandits. CoRR Hugo Richard, Etienne Boursier, Vianney Perchet
2023	J	`jnl`	Model agnostic methods meta-learn despite misspecifications. CoRR Yüksel Oguz, Etienne Boursier, Nicolas Flammarion
2023	A*	`conf`	Penalising the biases in norm regularisation enforces sparsity. NeurIPS Etienne Boursier, Nicolas Flammarion
2023	J	`jnl`	Penalising the biases in norm regularisation enforces sparsity. CoRR Etienne Boursier, Nicolas Flammarion
2022	J	`jnl`	A survey on multi-player bandits. CoRR Etienne Boursier, Vianney Perchet
2022	A*	`conf`	Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs. NeurIPS Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion
2022	J	`jnl`	Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs. CoRR Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion
2022	B	`conf`	Social Learning in Non-Stationary Environments. ALT Etienne Boursier, Vianney Perchet, Marco Scarsini
2022	A*	`conf`	Trace norm regularization for multi-task learning with scarce data. COLT Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion
2022	J	`jnl`	Trace norm regularization for multi-task learning with scarce data. CoRR Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion
2021	A*	`conf`	Decentralized Learning in Online Queuing Systems. NeurIPS Flore Sentenac, Etienne Boursier, Vianney Perchet
2021	J	`jnl`	Decentralized Learning in Online Queuing Systems. CoRR Flore Sentenac, Etienne Boursier, Vianney Perchet
2021	A*	`conf`	Making the most of your day: online learning for optimal allocation of time. NeurIPS Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini
2021	J	`jnl`	Making the most of your day: online learning for optimal allocation of time. CoRR Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini
2021	—	`—`	Sequential Learning in a strategical environment. (Apprentissage séquentiel dans un environnement stratégique). Etienne Boursier
2020	A	`conf`	A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players. AISTATS Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet
2020	J	`jnl`	Approximate Analytics System over Compressed Time Series with Tight Deterministic Error Guarantees. Proc. VLDB Endow. Chunbin Lin, Etienne Boursier, Yannis Papakonstantinou
2020	A*	`conf`	Selfish Robustness and Equilibria in Multi-Player Bandits. COLT Etienne Boursier, Vianney Perchet
2020	J	`jnl`	Selfish Robustness and Equilibria in Multi-Player Bandits. CoRR Etienne Boursier, Vianney Perchet
2020	J	`jnl`	Speed of Social Learning from Reviews in Non-Stationary Environments. CoRR Etienne Boursier, Vianney Perchet, Marco Scarsini
2020	A*	`conf`	Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits. NeurIPS Pierre Perrault, Etienne Boursier, Michal Valko, Vianney Perchet
2020	J	`jnl`	Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits. CoRR Pierre Perrault, Etienne Boursier, Vianney Perchet, Michal Valko
2020	A	`conf`	Utility/Privacy Trade-off through the lens of Optimal Transport. AISTATS Etienne Boursier, Vianney Perchet
2019	J	`jnl`	Private Learning and Regularized Optimal Transport. CoRR Etienne Boursier, Vianney Perchet
2019	A*	`conf`	SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits. NeurIPS Etienne Boursier, Vianney Perchet
2018	J	`jnl`	Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees. CoRR Etienne Boursier, Jaqueline J. Brito, Chunbin Lin, Yannis Papakonstantinou
2018	J	`jnl`	SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits. CoRR Etienne Boursier, Vianney Perchet
2017	J	`jnl`	Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees. CoRR Jaqueline J. Brito, Korhan Demirkaya, Etienne Boursier, Yannis Katsis, Chunbin Lin, Yannis Papakonstantinou