Vincent Plassier

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Learning Automata

Top Venues

Publications

Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
Efficient Conformal Prediction under Data Heterogeneity. AISTATS (2024)
Vincent Plassier, Alexander Fishkov, Maxim Panov, Eric Moulines
Conditionally valid Probabilistic Conformal Prediction. CoRR (2024)
Vincent Plassier, Eric Moulines, Alain Durmus
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. AISTATS (2023)
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. CoRR (2023)
Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
Efficient Conformal Prediction under Data Heterogeneity. CoRR (2023)
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. ICML (2023)
Vincent Plassier, Alain Durmus, Eric Moulines
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. CoRR (2022)
Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier
Membership Inference Attacks via Adversarial Examples. CoRR (2022)
Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning. AISTATS (2022)
Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm. CoRR (2021)
Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs. ICML (2021)
Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning. CoRR (2021)
Vincent Plassier, François Portier, Johan Segers
Risk bounds when learning infinitely many response functions by ordinary linear regression. CoRR (2020)