Dorian Baudry

According to our database, Dorian Baudry authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Value of Reward Lookahead in Reinforcement Learning.

Nadav Merlis, Dorian Baudry, Vianney Perchet

CoRR, 2024

2023

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

Dorian Baudry, Kazuya Suzuki, Junya Honda

CoRR, 2023

Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits.

Dorian Baudry, Fabien Pesquerel, Rémy Degenne, Odalric-Ambrym Maillard

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).

Dorian Baudry

PhD thesis, 2022

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

Romain Gautron, Dorian Baudry, Myriam Adam, Gatien N. Falconnier, Marc Corbeels

CoRR, 2022

Top Two Algorithms Revisited.

Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann

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

Efficient Algorithms for Extreme Bandits.

Dorian Baudry, Yoan Russac, Emilie Kaufmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard

CoRR, 2021

From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits.

Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard

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.

Dorian Baudry, Yoan Russac, Olivier Cappé

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Thompson Sampling strategies for support-aware CVaR bandits.

Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Thompson Sampling for CVaR Bandits.

Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard

CoRR, 2020

Sub-sampling for Efficient Non-Parametric Bandit Exploration.

Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard

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