Maxime Vono
6 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (16)
π£
Hot Topic Early Bird
Conferences
AISTATS (2)
NIPS (2)
ICML (1)
JMLR (1)
Top co-authors
Keywords
bayesian inference
(4)
markov chain monte carlo
(4)
langevin dynamics
(2)
high-dimensional inference
(2)
federated learning
(2)
gibbs sampling
(1)
variance reduction
(1)
monte carlo integration
(1)
convergence rate
(1)
gradient compression
(1)
personalized model
(1)
utility function
(1)
langevin monte carlo
(1)
shapley value
(1)
personalized learning
(1)
split gibbs sampler
(1)
dataset valuation
(1)
discrete uniform distribution
(1)
discrete uniform shapley
(1)
stochastic gradient
(1)
Papers
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
AISTATS 2025
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
NIPS 2024
FedPop: A Bayesian Approach for Personalised Federated Learning
NIPS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
AISTATS 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
JMLR 2022
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
ICML 2021