Dorian Baudry

26 papers A* 10A 2Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Perturbation Approach to Unconstrained Linear Bandits.
CoRR
Andrew Jacobsen, Dorian Baudry, Shinji Ito, Nicolò Cesa-Bianchi
2025 J jnl
Improved learning rates in multi-unit uniform price auctions.
CoRR
Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan
2025 J jnl
Non-stationary Bandit Convex Optimization: A Comprehensive Study.
CoRR
Xiaoqi Liu, Dorian Baudry, Julian Zimmert, Patrick Rebeschini, Arya Akhavan
2024 A* conf
Improved learning rates in multi-unit uniform price auctions.
NeurIPS
Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan
2024 A* conf
Lookback Prophet Inequalities.
NeurIPS
Ziyad Benomar, Dorian Baudry, Vianney Perchet
2024 J jnl
Lookback Prophet Inequalities.
CoRR
Ziyad Benomar, Dorian Baudry, Vianney Perchet
2024 A conf
Multi-armed bandits with guaranteed revenue per arm.
AISTATS
Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet
2024 A* conf
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits.
NeurIPS
Dorian Baudry, Hugo Richard, Maria Cherifa, Vianney Perchet, Clément Calauzènes
2024 A* conf
The Value of Reward Lookahead in Reinforcement Learning.
NeurIPS
Nadav Merlis, Dorian Baudry, Vianney Perchet
2024 J jnl
The Value of Reward Lookahead in Reinforcement Learning.
CoRR
Nadav Merlis, Dorian Baudry, Vianney Perchet
2023 J jnl
A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms.
CoRR
Dorian Baudry, Kazuya Suzuki, Junya Honda
2023 A* conf
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits.
NeurIPS
Dorian Baudry, Fabien Pesquerel, Rémy Degenne, Odalric-Ambrym Maillard
2022 A conf
Efficient Algorithms for Extreme Bandits.
AISTATS
Dorian Baudry, Yoan Russac, Emilie Kaufmann
2022 J jnl
Efficient Algorithms for Extreme Bandits.
CoRR
Dorian Baudry, Yoan Russac, Emilie Kaufmann
2022 — —
Non-Parametric Algorithms for Multi-Armed Bandits. (Algorithmes Non-Paramétriques de Bandits Multi-Bras).
Dorian Baudry
2022 A* conf
Top Two Algorithms Revisited.
NeurIPS
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann
2022 J jnl
Top Two Algorithms Revisited.
CoRR
Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann
2022 J jnl
Towards an efficient and risk aware strategy for guiding farmers in identifying best crop management.
CoRR
Romain Gautron, Dorian Baudry, Myriam Adam, Gatien N. Falconnier, Marc Corbeels
2021 A* conf
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits.
NeurIPS
Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
2021 J jnl
From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits.
CoRR
Dorian Baudry, Patrick Saux, Odalric-Ambrym Maillard
2021 A* conf
On Limited-Memory Subsampling Strategies for Bandits.
ICML
Dorian Baudry, Yoan Russac, Olivier Cappé
2021 J jnl
On Limited-Memory Subsampling Strategies for Bandits.
CoRR
Dorian Baudry, Yoan Russac, Olivier Cappé
2021 A* conf
Optimal Thompson Sampling strategies for support-aware CVaR bandits.
ICML
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard
2020 A* conf
Sub-sampling for Efficient Non-Parametric Bandit Exploration.
NeurIPS
Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard
2020 J jnl
Sub-sampling for Efficient Non-Parametric Bandit Exploration.
CoRR
Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard
2020 J jnl
Thompson Sampling for CVaR Bandits.
CoRR
Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambrym Maillard