Sub-sampling for Efficient Non-Parametric Bandit Exploration. - Dorian Baudry; Emilie Kaufmann; Odalric-Ambrym Maillard (NeurIPS, 2020)

Thompson Sampling for CVaR Bandits. - Dorian Baudry; Romain Gautron; Emilie Kaufmann; Odalric-Ambrym Maillard (CoRR, 2020)

Optimal Thompson Sampling strategies for support-aware CVaR bandits. - Dorian Baudry; Romain Gautron; Emilie Kaufmann; Odalric Maillard (ICML, 2021)

On Limited-Memory Subsampling Strategies for Bandits. - Dorian Baudry; Yoan Russac; Olivier Cappé (ICML, 2021)

From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits. - Dorian Baudry; Patrick Saux; Odalric-Ambrym Maillard (NeurIPS, 2021)

From Optimality to Robustness: Dirichlet Sampling Strategies in Stochastic Bandits. - Dorian Baudry; Patrick Saux; Odalric-Ambrym Maillard (CoRR, 2021)

Efficient Algorithms for Extreme Bandits. - Dorian Baudry; Yoan Russac; Emilie Kaufmann (AISTATS, 2022)

Top Two Algorithms Revisited. - Marc Jourdan; Rémy Degenne; Dorian Baudry; Rianne de Heide; Emilie Kaufmann (NeurIPS, 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)

Non-Parametric Algorithms for Multi-Armed Bandits. (Algorithmes Non-Paramétriques de Bandits Multi-Bras). - Dorian Baudry (2022)

Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits. - Dorian Baudry; Fabien Pesquerel; Rémy Degenne; Odalric-Ambrym Maillard (NeurIPS, 2023)

A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms. - Dorian Baudry; Kazuya Suzuki; Junya Honda (CoRR, 2023)

Multi-armed bandits with guaranteed revenue per arm. - Dorian Baudry; Nadav Merlis; Mathieu Benjamin Molina; Hugo Richard; Vianney Perchet (AISTATS, 2024)

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits. - Dorian Baudry; Hugo Richard; Maria Cherifa; Vianney Perchet; Clément Calauzènes (NeurIPS, 2024)

Lookback Prophet Inequalities. - Ziyad Benomar; Dorian Baudry; Vianney Perchet (NeurIPS, 2024)

The Value of Reward Lookahead in Reinforcement Learning. - Nadav Merlis; Dorian Baudry; Vianney Perchet (NeurIPS, 2024)

Improved learning rates in multi-unit uniform price auctions. - Marius Potfer; Dorian Baudry; Hugo Richard; Vianney Perchet; Cheng Wan (NeurIPS, 2024)

Non-stationary Bandit Convex Optimization: A Comprehensive Study. - Xiaoqi Liu; Dorian Baudry; Julian Zimmert; Patrick Rebeschini; Arya Akhavan (CoRR, 2025)