Dorian Baudry

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Multi Armed Bandits

Asymptotically Optimal

Sampling Strategies

Top Venues

Publications

Nadav Merlis, Dorian Baudry, Vianney Perchet
The Value of Reward Lookahead in Reinforcement Learning. CoRR (2024)
Ziyad Benomar, Dorian Baudry, Vianney Perchet
Lookback Prophet Inequalities. CoRR (2024)
Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet
Multi-armed bandits with guaranteed revenue per arm. AISTATS (2024)
Dorian Baudry, Kazuya Suzuki, Junya Honda
A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms. CoRR (2023)
Dorian Baudry, Fabien Pesquerel, Rémy Degenne, Odalric-Ambrym Maillard
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits. NeurIPS (2023)
Romain Gautron, Dorian Baudry, Myriam Adam, Gatien N. Falconnier, Marc Corbeels
Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management. CoRR (2022)
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann
Top Two Algorithms Revisited. CoRR (2022)
Dorian Baudry, Yoan Russac, Emilie Kaufmann
Efficient Algorithms for Extreme Bandits. AISTATS (2022)
Dorian Baudry, Yoan Russac, Emilie Kaufmann
Efficient Algorithms for Extreme Bandits. CoRR (2022)
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann
Top Two Algorithms Revisited. NeurIPS (2022)
Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits. CoRR (2021)
Dorian Baudry, Yoan Russac, Olivier Cappé
On Limited-Memory Subsampling Strategies for Bandits. ICML (2021)
Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits. NeurIPS (2021)
Dorian Baudry, Yoan Russac, Olivier Cappé
On Limited-Memory Subsampling Strategies for Bandits. CoRR (2021)
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard
Optimal Thompson Sampling strategies for support-aware CVaR bandits. ICML (2021)
Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard
Sub-sampling for Efficient Non-Parametric Bandit Exploration. NeurIPS (2020)
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard
Thompson Sampling for CVaR Bandits. CoRR (2020)
Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard
Sub-sampling for Efficient Non-Parametric Bandit Exploration. CoRR (2020)