Batiste Le Bars
8 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
federated learning
(2)
graph structure learning
(2)
differential privacy
(1)
transfer learning
(1)
robust statistics
(1)
ising model
(1)
nonparametric estimation
(1)
quantile estimation
(1)
algorithmic stability
(1)
generalization error
(1)
laplacian matrix
(1)
strongly convex
(1)
kernel density estimation
(1)
outlier detection
(1)
conformal prediction
(1)
convergence rate
(1)
data heterogeneity
(1)
prediction set
(1)
gradient estimator
(1)
change point detection
(1)
Papers
On Volume Minimization in Conformal Regression
ICML 2025
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
ICML 2024
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
AISTATS 2024
One-Shot Federated Conformal Prediction
ICML 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
AISTATS 2023
Robust Kernel Density Estimation with Median-of-Means principle
ICML 2022
Learning Laplacian Matrix from Graph Signals with Sparse Spectral Representation
JMLR 2021
Learning the piece-wise constant graph structure of a varying Ising model
ICML 2020