Etienne Boursier

Orcid: 0000-0002-7575-8575

According to our database1, Etienne Boursier authored at least 24 papers between 2017 and 2024.

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Bibliography

2024
Utility/privacy trade-off as regularized optimal transport.
Math. Program., January, 2024

Incentivized Learning in Principal-Agent Bandit Games.
CoRR, 2024

Early alignment in two-layer networks training is a two-edged sword.
CoRR, 2024

2023
Approximate information maximization for bandit games.
CoRR, 2023

Constant or logarithmic regret in asynchronous multiplayer bandits.
CoRR, 2023

Model agnostic methods meta-learn despite misspecifications.
CoRR, 2023

Penalising the biases in norm regularisation enforces sparsity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
A survey on multi-player bandits.
CoRR, 2022

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs.
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.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Social Learning in Non-Stationary Environments.
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).
PhD thesis, 2021

Decentralized Learning in Online Queuing Systems.
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.
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.
Proc. VLDB Endow., 2020

Speed of Social Learning from Reviews in Non-Stationary Environments.
CoRR, 2020

Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits.
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.
Proceedings of the Conference on Learning Theory, 2020

A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Utility/Privacy Trade-off through the lens of Optimal Transport.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Private Learning and Regularized Optimal Transport.
CoRR, 2019

SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits.
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.
CoRR, 2018

2017
Efficient Approximate Query Answering over Sensor Data with Deterministic Error Guarantees.
CoRR, 2017


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