Le Bars, Batiste

10 publications

ICML 2025 On Volume Minimization in Conformal Regression Batiste Le Bars, Pierre Humbert

ECML-PKDD 2025 TAMIS: Tailored Membership Inference Attacks on Synthetic Data Paul Andrey, Batiste Le Bars, Marc Tommasi

ICML 2024 Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia

AISTATS 2024 Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulie

ICML 2023 One-Shot Federated Conformal Prediction Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot

AISTATS 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec

NeurIPSW 2022 Refined Convergence and Topology Learning for Decentralized Optimization with Heterogeneous Data Batiste Le bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-marie Kermarrec

ICML 2022 Robust Kernel Density Estimation with Median-of-Means Principle Pierre Humbert, Batiste Le Bars, Ludovic Minvielle

JMLR 2021 Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

ICML 2020 Learning the Piece-Wise Constant Graph Structure of a Varying Ising Model Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis