| 2025 | AISTATS | Pareto Set Identification With Posterior Sampling. | Cyrille Kone, Marc Jourdan, Emilie Kaufmann |
| 2025 | AISTATS | Bandit Pareto Set Identification in a Multi-Output Linear Model. | Cyrille Kone, Emilie Kaufmann, Laura Richert |
| 2025 | AISTATS | Best-Arm Identification in Unimodal Bandits. | Riccardo Poiani, Marc Jourdan, Emilie Kaufmann, Rmy Degenne |
| 2025 | ICML | Constrained Pareto Set Identification with Bandit Feedback. | Cyrille Kone, Emilie Kaufmann, Laura Richert |
| 2024 | AISTATS | Bandit Pareto Set Identification: the Fixed Budget Setting. | Cyrille Kone, Emilie Kaufmann, Laura Richert |
| 2024 | UAI | Power Mean Estimation in Stochastic Monte-Carlo Tree Search. | Tuan Dam, Odalric-Ambrym Maillard, Emilie Kaufmann |
| 2023 | ALT | Dealing with Unknown Variances in Best-Arm Identification. | Marc Jourdan, Rmy Degenne, Emilie Kaufmann |
| 2023 | ALT | Optimistic PAC Reinforcement Learning: the Instance-Dependent View. | Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann |
| 2023 | COLT | Active Coverage for PAC Reinforcement Learning. | Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann |
| 2022 | AISTATS | Efficient Algorithms for Extreme Bandits. | Dorian Baudry, Yoan Russac, Emilie Kaufmann |
| 2021 | AISTATS | A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. | Omar Darwiche Domingues, Pierre Mnard, Matteo Pirotta, Emilie Kaufmann, Michal Valko |
| 2021 | AISTATS | Top-m identification for linear bandits. | Clmence Rda, Emilie Kaufmann, Andre Delahaye-Duriez |
| 2021 | ALT | Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. | Omar Darwiche Domingues, Pierre Mnard, Emilie Kaufmann, Michal Valko |
| 2021 | ALT | Adaptive Reward-Free Exploration. | Emilie Kaufmann, Pierre Mnard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko |
| 2021 | ICML | Optimal Thompson Sampling strategies for support-aware CVaR bandits. | Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric Maillard |
| 2021 | ICML | Kernel-Based Reinforcement Learning: A Finite-Time Analysis. | Omar Darwiche Domingues, Pierre Mnard, Matteo Pirotta, Emilie Kaufmann, Michal Valko |
| 2021 | ICML | Fast active learning for pure exploration in reinforcement learning. | Pierre Mnard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko |
| 2020 | AISTATS | A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players. | Abbas Mehrabian, Etienne Boursier, Emilie Kaufmann, Vianney Perchet |
| 2020 | AISTATS | Fixed-confidence guarantees for Bayesian best-arm identification. | Xuedong Shang, Rianne de Heide, Pierre Mnard, Emilie Kaufmann, Michal Valko |
| 2020 | ALT | Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. | Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes |
| 2019 | ALT | General parallel optimization a without metric. | Xuedong Shang, Emilie Kaufmann, Michal Valko |
| 2018 | ALT | Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence. | Maryam Aziz, Jesse Anderton, Emilie Kaufmann, Javed A. Aslam |
| 2018 | ALT | {Multi-Player Bandits Revisited}. | Lilian Besson, Emilie Kaufmann |
| 2018 | ALT | Corrupt Bandits for Preserving Local Privacy. | Pratik Gajane, Tanguy Urvoy, Emilie Kaufmann |
| 2018 | WCNC | Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access. | Lilian Besson, Emilie Kaufmann, Christophe Moy |
| 2016 | ALT | A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks. | Emilie Kaufmann, Thomas Bonald, Marc Lelarge |
| 2016 | COLT | Optimal Best Arm Identification with Fixed Confidence. | Aurlien Garivier, Emilie Kaufmann |
| 2016 | COLT | Maximin Action Identification: A New Bandit Framework for Games. | Aurlien Garivier, Emilie Kaufmann, Wouter M. Koolen |
| 2014 | COLT | On the Complexity of A/B Testing. | Emilie Kaufmann, Olivier Capp, Aurlien Garivier |
| 2013 | COLT | Information Complexity in Bandit Subset Selection. | Emilie Kaufmann, Shivaram Kalyanakrishnan |
| 2012 | ALT | Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis. | Emilie Kaufmann, Nathaniel Korda, Rmi Munos |