Batiste Le Bars

According to our database, Batiste Le Bars authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles.

Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi

CoRR, 2023

One-Shot Federated Conformal Prediction.

Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot

Proceedings of the International Conference on Machine Learning, 2023

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 International Conference on Artificial Intelligence and Statistics, 2023

2022

Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data.

Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec

CoRR, 2022

Robust Kernel Density Estimation with Median-of-Means principle.

Pierre Humbert, Batiste Le Bars, Ludovic Minvielle

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.

Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis

J. Mach. Learn. Res., 2021

2020

Learning the piece-wise constant graph structure of a varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Detecting multiple change-points in the time-varying Ising model.

Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis

CoRR, 2019

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks.

Batiste Le Bars, Argyris Kalogeratos

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Learning Laplacian Matrix from Bandlimited Graph Signals.

Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos

Proceedings of the IEEE International Conference on Acoustics, 2019