| 2026 | COLT | Phase Transition for Stochastic Block Model with more than √n Communities. | Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen |
| 2025 | ALT | Clustering with bandit feedback: breaking down the computation/information gap. | Victor Thuot, Alexandra Carpentier, Christophe Giraud, Nicolas Verzelen |
| 2024 | SODA | Optimal rates for ranking a permuted isotonic matrix in polynomial time. | Emmanuel Pilliat, Alexandra Carpentier, Nicolas Verzelen |
| 2023 | ICML | Online Learning with Feedback Graphs: The True Shape of Regret. | Toms Kock, Alexandra Carpentier |
| 2023 | ICML | Active Ranking of Experts Based on their Performances in Many Tasks. | El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier |
| 2021 | ICML | Problem Dependent View on Structured Thresholding Bandit Problems. | James Cheshire, Pierre Mnard, Alexandra Carpentier |
| 2020 | COLT | The Influence of Shape Constraints on the Thresholding Bandit Problem. | James Cheshire, Pierre Mnard, Alexandra Carpentier |
| 2020 | ICML | Stochastic bandits with arm-dependent delays. | Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko |
| 2020 | ICML | Linear bandits with Stochastic Delayed Feedback. | Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brckner |
| 2019 | AISTATS | Active multiple matrix completion with adaptive confidence sets. | Andrea Locatelli, Alexandra Carpentier, Michal Valko |
| 2019 | AISTATS | Rotting bandits are no harder than stochastic ones. | Julien Seznec, Andrea Locatelli, Alexandra Carpentier, Alessandro Lazaric, Michal Valko |
| 2019 | ALT | A minimax near-optimal algorithm for adaptive rejection sampling. | Juliette Achdou, Joseph Lam-Weil, Alexandra Carpentier, Gilles Blanchard |
| 2018 | ALT | An Adaptive Strategy for Active Learning with Smooth Decision Boundary. | Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe |
| 2018 | COLT | Adaptivity to Smoothness in X-armed bandits. | Andrea Locatelli, Alexandra Carpentier |
| 2017 | COLT | Adaptivity to Noise Parameters in Nonparametric Active Learning. | Andrea Locatelli, Alexandra Carpentier, Samory Kpotufe |
| 2017 | COLT | Two-Sample Tests for Large Random Graphs Using Network Statistics. | Debarghya Ghoshdastidar, Maurilio Gutzeit, Alexandra Carpentier, Ulrike von Luxburg |
| 2016 | AISTATS | Learning Relationships between Data Obtained Independently. | Alexandra Carpentier, Teresa Schlueter |
| 2016 | AISTATS | Revealing Graph Bandits for Maximizing Local Influence. | Alexandra Carpentier, Michal Valko |
| 2016 | COLT | Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem. | Alexandra Carpentier, Andrea Locatelli |
| 2016 | ICML | Pliable Rejection Sampling. | Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard |
| 2016 | ICML | An optimal algorithm for the Thresholding Bandit Problem. | Andrea Locatelli, Maurilio Gutzeit, Alexandra Carpentier |
| 2015 | AISTATS | Implementable confidence sets in high dimensional regression. | Alexandra Carpentier |
| 2015 | ICML | Simple regret for infinitely many armed bandits. | Alexandra Carpentier, Michal Valko |
| 2013 | ICML | Toward Optimal Stratification for Stratified Monte-Carlo Integration. | Alexandra Carpentier, Rmi Munos |
| 2013 | ICML | Stochastic Simultaneous Optimistic Optimization. | Michal Valko, Alexandra Carpentier, Rmi Munos |
| 2012 | ALT | Minimax Number of Strata for Online Stratified Sampling Given Noisy Samples. | Alexandra Carpentier, Rmi Munos |
| 2011 | ALT | Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits. | Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rmi Munos, Peter Auer |