| 2025 | ICML | On Volume Minimization in Conformal Regression. | Batiste Le Bars, Pierre Humbert |
| 2024 | AISTATS | Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. | Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massouli |
| 2024 | ICML | Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. | Batiste Le Bars, Aurlien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia |
| 2023 | AISTATS | Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. | Batiste Le Bars, Aurlien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec |
| 2023 | ICML | One-Shot Federated Conformal Prediction. | Pierre Humbert, Batiste Le Bars, Aurlien Bellet, Sylvain Arlot |
| 2022 | ICML | Robust Kernel Density Estimation with Median-of-Means principle. | Pierre Humbert, Batiste Le Bars, Ludovic Minvielle |
| 2020 | ICML | Learning the piece-wise constant graph structure of a varying Ising model. | Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis |
| 2019 | ICASSP | Learning Laplacian Matrix from Bandlimited Graph Signals. | Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos |
| 2019 | INFOCOM | A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. | Batiste Le Bars, Argyris Kalogeratos |