Batiste Le Bars

20 papers A* 6A 2Misc 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings.
CoRR
Jean-Baptiste Fermanian, Batiste Le Bars, Aurélien Bellet
2025 J jnl
Adaptive collaboration for online personalized distributed learning with heterogeneous clients.
CoRR
Constantin Philippenko, Batiste Le Bars, Kevin Scaman, Laurent Massoulié
2025 J jnl
Generalization under Byzantine & Poisoning Attacks: Tight Stability Bounds in Robust Distributed Learning.
CoRR
Thomas Boudou, Batiste Le Bars, Nirupam Gupta, Aurélien Bellet
2025 A* conf
On Volume Minimization in Conformal Regression.
ICML
Batiste Le Bars, Pierre Humbert
2025 J jnl
On Volume Minimization in Conformal Regression.
CoRR
Batiste Le Bars, Pierre Humbert
2025 — conf
TAMIS: Tailored Membership Inference Attacks on Synthetic Data.
ECML/PKDD (5)
Paul Andrey, Batiste Le Bars, Marc Tommasi
2025 J jnl
TAMIS: Tailored Membership Inference Attacks on Synthetic Data.
CoRR
Paul Andrey, Batiste Le Bars, Marc Tommasi
2024 A* conf
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm.
ICML
Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia
2024 A conf
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles.
AISTATS
Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié
2023 J jnl
Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm.
CoRR
Batiste Le Bars, Aurélien Bellet, Marc Tommasi
2023 A* conf
One-Shot Federated Conformal Prediction.
ICML
Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot
2023 A conf
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data.
AISTATS
Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec
2022 A* conf
Robust Kernel Density Estimation with Median-of-Means principle.
ICML
Pierre Humbert, Batiste Le Bars, Ludovic Minvielle
2022 J jnl
Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data.
CoRR
Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec
2021 J jnl
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.
J. Mach. Learn. Res.
Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis
2020 A* conf
Learning the piece-wise constant graph structure of a varying Ising model.
ICML
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2019 A* conf
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks.
INFOCOM
Batiste Le Bars, Argyris Kalogeratos
2019 J jnl
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks.
CoRR
Batiste Le Bars, Argyris Kalogeratos
2019 J jnl
Detecting multiple change-points in the time-varying Ising model.
CoRR
Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis
2019 Misc conf
Learning Laplacian Matrix from Bandlimited Graph Signals.
ICASSP
Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos