Batiste Le Bars

According to our database1, Batiste Le Bars authored at least 10 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Improved Stability and Generalization Analysis of the Decentralized SGD Algorithm.
CoRR, 2023

One-Shot Federated Conformal Prediction.
Proceedings of the International Conference on Machine Learning, 2023

Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data.
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.
CoRR, 2022

Robust Kernel Density Estimation with Median-of-Means principle.
Proceedings of the International Conference on Machine Learning, 2022

2021
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation.
J. Mach. Learn. Res., 2021

2020
Learning the piece-wise constant graph structure of a varying Ising model.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Detecting multiple change-points in the time-varying Ising model.
CoRR, 2019

A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Learning Laplacian Matrix from Bandlimited Graph Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019


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