| 2025 | AISTATS | Implicit Diffusion: Efficient optimization through stochastic sampling. | Pierre Marion, Anna Korba, Peter L. Bartlett, Mathieu Blondel, Valentin De Bortoli, Arnaud Doucet, Felipe Llinares-Lpez, Courtney Paquette, Quentin Berthet |
| 2024 | ICML | Decoding-time Realignment of Language Models. | Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-Lpez, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel |
| 2023 | AISTATS | Regression as Classification: Influence of Task Formulation on Neural Network Features. | Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert |
| 2023 | ICML | Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes. | Marin Ballu, Quentin Berthet |
| 2020 | AISTATS | Statistical and Computational Rates in Graph Logistic Regression. | Quentin Berthet, Nicolai Baldin |
| 2020 | ICML | Stochastic Optimization for Regularized Wasserstein Estimators. | Marin Ballu, Quentin Berthet, Francis R. Bach |
| 2020 | ICML | Fast Differentiable Sorting and Ranking. | Mathieu Blondel, Olivier Teboul, Quentin Berthet, Josip Djolonga |
| 2019 | AISTATS | Detection of Planted Solutions for Flat Satisfiability Problems. | Quentin Berthet, Jordan S. Ellenberg |
| 2019 | AISTATS | Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain. | Quentin Berthet, Varun Kanade |
| 2019 | AISTATS | Regularized Contextual Bandits. | Xavier Fontaine, Quentin Berthet, Vianney Perchet |
| 2019 | AISTATS | Unsupervised Alignment of Embeddings with Wasserstein Procrustes. | Edouard Grave, Armand Joulin, Quentin Berthet |
| 2019 | COLT | Estimation of smooth densities in Wasserstein distance. | Jonathan Weed, Quentin Berthet |
| 2013 | COLT | Complexity Theoretic Lower Bounds for Sparse Principal Component Detection. | Quentin Berthet, Philippe Rigollet |