| 2025 | AISTATS | Best-Arm Identification in Unimodal Bandits. | Riccardo Poiani, Marc Jourdan, Emilie Kaufmann, Rmy Degenne |
| 2025 | ICML | The Batch Complexity of Bandit Pure Exploration. | Adrienne Tuynman, Rmy Degenne |
| 2023 | ALT | Dealing with Unknown Variances in Best-Arm Identification. | Marc Jourdan, Rmy Degenne, Emilie Kaufmann |
| 2023 | COLT | On the Existence of a Complexity in Fixed Budget Bandit Identification. | Rmy Degenne |
| 2023 | CPP | A Formalization of Doob's Martingale Convergence Theorems in mathlib. | Kexing Ying, Rmy Degenne |
| 2022 | ICML | Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits. | Marc Jourdan, Rmy Degenne |
| 2020 | ICML | Gamification of Pure Exploration for Linear Bandits. | Rmy Degenne, Pierre Mnard, Xuedong Shang, Michal Valko |
| 2020 | ICML | Structure Adaptive Algorithms for Stochastic Bandits. | Rmy Degenne, Han Shao, Wouter M. Koolen |
| 2019 | AISTATS | Bridging the gap between regret minimization and best arm identification, with application to A/B tests. | Rmy Degenne, Thomas Nedelec, Clment Calauznes, Vianney Perchet |
| 2018 | UAI | Bandits with Side Observations: Bounded vs. Logarithmic Regret. | Rmy Degenne, Evrard Garcelon, Vianney Perchet |
| 2016 | ICML | Anytime optimal algorithms in stochastic multi-armed bandits. | Rmy Degenne, Vianney Perchet |