Maxime Vono
6 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Learning Paradigms · Artificial Intelligence
(3)
Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Paradigms · Machine Learning
(2)
Deep Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
markov chain monte carlo
(4)
bayesian inference
(4)
langevin dynamics
(2)
high-dimensional inference
(2)
federated learning
(2)
posterior distribution
(1)
gibbs sampling
(1)
variance reduction
(1)
monte carlo integration
(1)
convergence rate
(1)
gradient compression
(1)
personalized model
(1)
worst-case risk
(1)
utility function
(1)
langevin monte carlo
(1)
shapley value
(1)
local differential privacy
(1)
user-level privacy
(1)
personalized learning
(1)
split gibbs sampler
(1)
Papers
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
AISTATS 2025
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
NeurIPS 2024
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
JMLR 2022
FedPop: A Bayesian Approach for Personalised Federated Learning
NeurIPS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
AISTATS 2022
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
ICML 2021