Etienne Boursier

According to our database, Etienne Boursier authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Utility/privacy trade-off as regularized optimal transport.

Etienne Boursier, Vianney Perchet

Math. Program., January, 2024

A Survey on Multi-player Bandits.

Etienne Boursier, Vianney Perchet

J. Mach. Learn. Res., 2024

Optimal Design for Reward Modeling in RLHF.

Antoine Scheid, Etienne Boursier, Alain Durmus, Michael I. Jordan, Pierre Ménard, Eric Moulines, Michal Valko

CoRR, 2024

Simplicity bias and optimization threshold in two-layer ReLU networks.

Etienne Boursier, Nicolas Flammarion

CoRR, 2024

Unravelling in Collaborative Learning.

Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus

CoRR, 2024

Mitigating Externalities while Learning: an Online Version of the Coase Theorem.

Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus

CoRR, 2024

Early alignment in two-layer networks training is a two-edged sword.

Etienne Boursier, Nicolas Flammarion

CoRR, 2024

Incentivized Learning in Principal-Agent Bandit Games.

Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Oliviero Durmus

Proceedings of the Forty-first International Conference on Machine Learning, 2024

First-order ANIL provably learns representations despite overparametrisation.

Oguz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication.

Hugo Richard, Etienne Boursier, Vianney Perchet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Approximate information maximization for bandit games.

Alex Barbier-Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson, Etienne Boursier

CoRR, 2023

Constant or logarithmic regret in asynchronous multiplayer bandits.

Hugo Richard, Etienne Boursier, Vianney Perchet

CoRR, 2023

Model agnostic methods meta-learn despite misspecifications.

Yüksel Oguz, Etienne Boursier, Nicolas Flammarion

CoRR, 2023

Penalising the biases in norm regularisation enforces sparsity.

Etienne Boursier, Nicolas Flammarion

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs.

Etienne Boursier, Loucas Pillaud-Vivien, Nicolas Flammarion

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Trace norm regularization for multi-task learning with scarce data.

Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Social Learning in Non-Stationary Environments.

Etienne Boursier, Vianney Perchet, Marco Scarsini

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021

Sequential Learning in a strategical environment. (Apprentissage séquentiel dans un environnement stratégique).

Etienne Boursier

PhD thesis, 2021

Decentralized Learning in Online Queuing Systems.

Flore Sentenac, Etienne Boursier, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Making the most of your day: online learning for optimal allocation of time.

Etienne Boursier, Tristan Garrec, Vianney Perchet, Marco Scarsini

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Approximate Analytics System over Compressed Time Series with Tight Deterministic Error Guarantees.

Chunbin Lin, Etienne Boursier, Yannis Papakonstantinou

Proc. VLDB Endow., 2020

Speed of Social Learning from Reviews in Non-Stationary Environments.

Etienne Boursier, Vianney Perchet, Marco Scarsini

CoRR, 2020

Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits.

Pierre Perrault, Etienne Boursier, Michal Valko, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Selfish Robustness and Equilibria in Multi-Player Bandits.

Etienne Boursier, Vianney Perchet

Proceedings of the Conference on Learning Theory, 2020

A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players.

Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Utility/Privacy Trade-off through the lens of Optimal Transport.

Etienne Boursier, Vianney Perchet

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Private Learning and Regularized Optimal Transport.

Etienne Boursier, Vianney Perchet

CoRR, 2019

SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits.

Etienne Boursier, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees.

Etienne Boursier, Jaqueline J. Brito, Chunbin Lin, Yannis Papakonstantinou

CoRR, 2018

2017

Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees.

Jaqueline J. Brito, Korhan Demirkaya, Etienne Boursier, Yannis Katsis, Chunbin Lin, Yannis Papakonstantinou

CoRR, 2017