Batiste Le Bars

Publications

Pré-publication, Document de travail (4)

Metric space valued Fréchet regression László Györfi,Pierre Humbert,Batiste Le Bars 2026 Pré-publication, Document de travail hal-05493499v1
Generalization under Byzantine & Poisoning Attacks: Tight Stability Bounds in Robust Distributed Learning Thomas Boudou,Batiste Le Bars,Nirupam Gupta,Aurélien Bellet 2025 Pré-publication, Document de travail hal-05245060v1
Adaptive collaboration for online personalized distributed learning with heterogeneous clients Constantin Philippenko,Batiste Le Bars,Kevin Scaman,Laurent Massoulie 2025 Pré-publication, Document de travail hal-05175097v1
Marginal and training-conditional guarantees in one-shot federated conformal prediction Pierre Humbert,Batiste Le Bars,Aurélien Bellet,Sylvain Arlot 2024 Pré-publication, Document de travail hal-04579882v1

Communication dans un congrès (6)

TAMIS: Tailored Membership Inference Attacks on Synthetic Data Paul Andrey,Batiste Le Bars,Marc Tommasi ECML PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto (Portugal), Portugal. pp.203-220, ⟨10.1007/978-3-032-06096-9_12⟩ Communication dans un congrès hal-05360487v1
On Volume Minimization in Conformal Regression Batiste Le Bars,Pierre Humbert International Conference on Machine Learning (ICML), Jul 2025, Vancouver, Canada Communication dans un congrès hal-04945088v2
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm Batiste Le Bars,Aurélien Bellet,Marc Tommasi,Kevin Scaman,Giovanni Neglia ICML 2024 - The Forty-first International Conference on Machine Learning, Jul 2024, Vienne, Austria Communication dans un congrès hal-04611418v1
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data Batiste Le Bars,Aurélien Bellet,Marc Tommasi,Erick Lavoie,Anne-Marie Kermarrec Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), 2023, Valencia, Spain, Spain Communication dans un congrès hal-03905091v2
One-Shot Federated Conformal Prediction Pierre Humbert,Batiste Le Bars,Aurélien Bellet,Sylvain Arlot ICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honolulu (Hawai), United States Communication dans un congrès hal-03981605v2
Robust Kernel Density Estimation with Median-of-Means principle Pierre Humbert,Batiste Le Bars,Ludovic Minvielle ICML 2022 - The 39th International Conference on Machine Learning (ICML), Jul 2022, Baltimore, United States Communication dans un congrès hal-02882092v1

Article dans une revue (1)

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation Pierre Humbert,Batiste Le Bars,Laurent Oudre,Argyris Kalogeratos,Nicolas Vayatis Journal of Machine Learning Research, 2021 Article dans une revue hal-03671262v1

Thèse (1)

Détection d'événements et inférence de structure pour des vecteurs sur graphes Batiste Le Bars Statistics [math.ST]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASM003⟩ Thèse tel-03202003v2