output
20152026
most citedExtending Gossip Algorithms to Distributed Estimation of U-Statistics

10 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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4 papers · 1 filter

stat.ML2025

On Volume Minimization in Conformal Regression

Batiste Le Bars, Pierre Humbert

We study the question of volume optimality in split conformal regression, a topic still poorly understood in comparison to coverage control. Using the fact that the calibration ste…

stat.ML2024

Central Limit Theorem for Bayesian Neural Network trained with Variational Inference

Arnaud Descours, Tom Huix, Arnaud Guillin +3

In this paper, we rigorously derive Central Limit Theorems (CLT) for Bayesian two-layerneural networks in the infinite-width limit and trained by variational inference on a regress…

stat.ML2023

One-Shot Federated Conformal Prediction

Pierre Humbert, Batiste Le Bars, Aurélien Bellet +1

In this paper, we introduce a conformal prediction method to construct prediction sets in a oneshot federated learning setting. More specifically, we define a quantile-of-quantiles…

stat.ML2015★ 10 cited

Extending Gossip Algorithms to Distributed Estimation of U-Statistics

Igor Colin, Aurélien Bellet, Joseph Salmon +1

Efficient and robust algorithms for decentralized estimation in networks are essential to many distributed systems. Whereas distributed estimation of sample mean statistics has bee…