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Lionel Riou-Durand
Lionel Riou-Durand
Assistant Professor, INSA Rouen
Dirección de correo verificada de insa-rouen.fr - Página principal
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On sampling from a log-concave density using kinetic Langevin diffusions
AS Dalalyan, L Riou-Durand
1742020
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
AS Dalalyan, A Karagulyan, L Riou-Durand
Journal of Machine Learning Research 23 (235), 1-38, 2022
502022
Noise contrastive estimation: Asymptotic properties, formal comparison with MC-MLE
L Riou-Durand, N Chopin
18*2018
Nested ˆR: Assessing the convergence of Markov chain Monte Carlo when running many short chains
CC Margossian, MD Hoffman, P Sountsov, L Riou-Durand, A Vehtari, ...
Bayesian Analysis 1 (1), 1-28, 2024
142024
Metropolis adjusted Langevin trajectories: a robust alternative to Hamiltonian Monte Carlo
L Riou-Durand, J Vogrinc
arXiv preprint arXiv:2202.13230, 2022
122022
Adaptive tuning for Metropolis adjusted Langevin trajectories
L Riou-Durand, P Sountsov, J Vogrinc, C Margossian, S Power
International Conference on Artificial Intelligence and Statistics, 8102-8116, 2023
72023
Theoretical contributions to Monte Carlo methods, and applications to Statistics
L Riou-Durand
Université Paris-Saclay, 2019
2019
Assessing the Convergence of Markov chain Monte Carlo when running many short chains
CC Margossian, MD Hoffman, P Sountsov, L Riou-Durand, A Vehtari, ...
Bayesian inference using sub-posteriors.
L Riou-Durand
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Artículos 1–9