Vincent Plassier

16 papers A* 4A 3Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Probabilistic Conformal Prediction with Approximate Conditional Validity. ICLR Vincent Plassier, Alexander Fishkov, Mohsen Guizani, Maxim Panov, Eric Moulines
2025	A*	`conf`	Rectifying Conformity Scores for Better Conditional Coverage. ICML Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2025	J	`jnl`	Rectifying Conformity Scores for Better Conditional Coverage. CoRR Vincent Plassier, Alexander Fishkov, Victor Dheur, Mohsen Guizani, Souhaib Ben Taieb, Maxim Panov, Eric Moulines
2024	J	`jnl`	Conditionally valid Probabilistic Conformal Prediction. CoRR Vincent Plassier, Alexander Fishkov, Maxim Panov, Eric Moulines
2024	A	`conf`	Efficient Conformal Prediction under Data Heterogeneity. AISTATS Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
2023	A*	`conf`	Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. ICML Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
2023	J	`jnl`	Conformal Prediction for Federated Uncertainty Quantification Under Label Shift. CoRR Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
2023	J	`jnl`	Efficient Conformal Prediction under Data Heterogeneity. CoRR Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác, Eric Moulines, Maxim Panov
2023	A	`conf`	Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. AISTATS Vincent Plassier, Eric Moulines, Alain Durmus
2022	J	`jnl`	Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. CoRR Vincent Plassier, Alain Durmus, Eric Moulines
2022	J	`jnl`	Membership Inference Attacks via Adversarial Examples. CoRR Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier
2022	A	`conf`	QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning. AISTATS Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
2021	A*	`conf`	DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs. ICML Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
2021	J	`jnl`	DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm. CoRR Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines
2021	J	`jnl`	QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning. CoRR Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
2020	J	`jnl`	Risk bounds when learning infinitely many response functions by ordinary linear regression. CoRR Vincent Plassier, François Portier, Johan Segers