Dorian Baudry

According to our database1, Dorian Baudry authored at least 19 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
A Perturbation Approach to Unconstrained Linear Bandits.
CoRR, March, 2026

2025
Non-stationary Bandit Convex Optimization: A Comprehensive Study.
CoRR, June, 2025

2024
Improved learning rates in multi-unit uniform price auctions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

The Value of Reward Lookahead in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Lookback Prophet Inequalities.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-armed bandits with guaranteed revenue per arm.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms.
CoRR, 2023

Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Non-Parametric Algorithms for Multi-Armed Bandits. (Algorithmes Non-Paramétriques de Bandits Multi-Bras).
PhD thesis, 2022

Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management.
CoRR, 2022

Top Two Algorithms Revisited.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Algorithms for Extreme Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits.
CoRR, 2021

From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Limited-Memory Subsampling Strategies for Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Thompson Sampling strategies for support-aware CVaR bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Thompson Sampling for CVaR Bandits.
CoRR, 2020

Sub-sampling for Efficient Non-Parametric Bandit Exploration.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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