| 2024 | ICASSP | Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms. | Ahmed Ben Yahmed, Clment Calauznes, Vianney Perchet |
| 2024 | WISE | Open Research Challenges for Private Advertising Systems Under Local Differential Privacy. | Matilde Tullii, Solenne Gaucher, Hugo Richard, Eustache Diemert, Vianney Perchet, Alain Rakotomamonjy, Clment Calauznes, Maxime Vono |
| 2023 | ICML | Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues. | Morgane Goibert, Clment Calauznes, Ekhine Irurozki, Stphan Clmenon |
| 2022 | AISTATS | Jointly Efficient and Optimal Algorithms for Logistic Bandits. | Louis Faury, Marc Abeille, Kwang-Sung Jun, Clment Calauznes |
| 2021 | AISTATS | Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. | Marc Abeille, Louis Faury, Clment Calauznes |
| 2021 | ALT | A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions. | Louis Faury, Yoan Russac, Marc Abeille, Clment Calauznes |
| 2021 | ICML | Pure Exploration and Regret Minimization in Matching Bandits. | Flore Sentenac, Jialin Yi, Clment Calauznes, Vianney Perchet, Milan Vojnovic |
| 2020 | AISTATS | Robust Stackelberg buyers in repeated auctions. | Thomas Nedelec, Clment Calauznes, Vianney Perchet, Noureddine El Karoui |
| 2020 | ECCV | Do Not Mask What You Do Not Need to Mask: A Parser-Free Virtual Try-On. | Thibaut Issenhuth, Jrmie Mary, Clment Calauznes |
| 2020 | ICML | Real-Time Optimisation for Online Learning in Auctions. | Lorenzo Croissant, Marc Abeille, Clment Calauznes |
| 2020 | ICML | Improved Optimistic Algorithms for Logistic Bandits. | Louis Faury, Marc Abeille, Clment Calauznes, Olivier Fercoq |
| 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 |
| 2019 | GECCO | Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. | Louis Faury, Clment Calauznes, Olivier Fercoq |
| 2019 | ICML | Fairness-Aware Learning for Continuous Attributes and Treatments. | Jrmie Mary, Clment Calauznes, Noureddine El Karoui |
| 2018 | WSDM | Offline A/B Testing for Recommender Systems. | Alexandre Gilotte, Clment Calauznes, Thomas Nedelec, Alexandre Abraham, Simon Doll |
| 2011 | ICML | Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision. | David Buffoni, Clment Calauznes, Patrick Gallinari, Nicolas Usunier |