Vincent Plassier
7 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (3) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (13)
π₯
Unstoppable
(5)
Conferences
AISTATS (3)
ICML (3)
ICLR (1)
Top co-authors
Keywords
federated learning
(4)
langevin dynamics
(3)
markov chain monte carlo
(3)
bayesian inference
(3)
conformal prediction
(2)
uncertainty quantification
(2)
gibbs sampling
(1)
variance reduction
(1)
label shift
(1)
gradient compression
(1)
data heterogeneity
(1)
confidence set
(1)
langevin monte carlo
(1)
wasserstein distance
(1)
client drift
(1)
differential privacy
(1)
stochastic gradient
(1)
high-dimensional inference
(1)
distributed learning
(1)
quantile regression
(1)
Papers
Probabilistic Conformal Prediction with Approximate Conditional Validity
ICLR 2025
Rectifying Conformity Scores for Better Conditional Coverage
ICML 2025
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
ICML 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
AISTATS 2023
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