Vincent Plassier
7 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(13)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Learning Paradigms · Artificial Intelligence
(5)
Core Methods
(3)
Learning Paradigms · Machine Learning
(3)
Learning Types
(3)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
federated learning
(4)
conformal prediction
(3)
langevin dynamics
(3)
markov chain monte carlo
(3)
bayesian inference
(3)
uncertainty quantification
(2)
conditional coverage
(2)
quantile regression
(2)
label shift
(1)
gradient compression
(1)
data heterogeneity
(1)
prediction set
(1)
confidence set
(1)
langevin monte carlo
(1)
total variation distance
(1)
client drift
(1)
conformity score
(1)
adaptive confidence sets
(1)
quantile estimate
(1)
wasserstein distance
(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