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Batiste Le Bars
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2020 – today
- 2024
- [c8]Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié:
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. AISTATS 2024: 3709-3717 - [c7]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, Giovanni Neglia:
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm. ICML 2024 - 2023
- [c6]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec:
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. AISTATS 2023: 1672-1702 - [c5]Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot:
One-Shot Federated Conformal Prediction. ICML 2023: 14153-14177 - [i4]Batiste Le Bars, Aurélien Bellet, Marc Tommasi:
Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm. CoRR abs/2306.02939 (2023) - 2022
- [c4]Pierre Humbert, Batiste Le Bars, Ludovic Minvielle:
Robust Kernel Density Estimation with Median-of-Means principle. ICML 2022: 9444-9465 - [i3]Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Anne-Marie Kermarrec:
Yes, Topology Matters in Decentralized Optimization: Refined Convergence and Topology Learning under Heterogeneous Data. CoRR abs/2204.04452 (2022) - 2021
- [j1]Pierre Humbert, Batiste Le Bars, Laurent Oudre, Argyris Kalogeratos, Nicolas Vayatis:
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation. J. Mach. Learn. Res. 22: 195:1-195:47 (2021) - 2020
- [c3]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Learning the piece-wise constant graph structure of a varying Ising model. ICML 2020: 675-684
2010 – 2019
- 2019
- [c2]Batiste Le Bars, Pierre Humbert, Laurent Oudre, Argyris Kalogeratos:
Learning Laplacian Matrix from Bandlimited Graph Signals. ICASSP 2019: 2937-2941 - [c1]Batiste Le Bars, Argyris Kalogeratos:
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. INFOCOM 2019: 2188-2196 - [i2]Batiste Le Bars, Argyris Kalogeratos:
A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. CoRR abs/1902.04521 (2019) - [i1]Batiste Le Bars, Pierre Humbert, Argyris Kalogeratos, Nicolas Vayatis:
Detecting multiple change-points in the time-varying Ising model. CoRR abs/1910.08512 (2019)
Coauthor Index
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