Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring. - Olivier Cappé; Randal Douc; Eric Moulines; Christian P. Robert (COMPSTAT, 1998)

Comparison of Resampling Schemes for Particle Filtering - Randal Douc; Olivier Cappé; Eric Moulines (CoRR, 2005)

Adaptive importance sampling in general mixture classes. - Olivier Cappé; Randal Douc; Arnaud Guillin; Jean-Michel Marin; Christian P. Robert (Stat. Comput., 2008)

An online learning algorithm for mixture models of deformable templates. - Florian Maire; Sidonie Lefebvre; Randal Douc; Eric Moulines (MLSP, 2012)

On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective. - Randal Douc; Florian Maire; Jimmy Olsson (Stat. Comput., 2015)

Mixture weights optimisation for Alpha-Divergence Variational Inference. - Kamélia Daudel; Randal Douc (NeurIPS, 2021)

Monotonic Alpha-divergence Minimisation. - Kamélia Daudel; Randal Douc; François Roueff (CoRR, 2021)

Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm. - Randal Douc; Alain Durmus; Aurélien Enfroy; Jimmy Olsson (CoRR, 2022)

The Importance Markov Chain. - Charly Andral; Randal Douc; Hugo Marival; Christian P. Robert (CoRR, 2022)

Monotonic Alpha-divergence Minimisation for Variational Inference. - Kamélia Daudel; Randal Douc; François Roueff (J. Mach. Learn. Res., 2023)

Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families. - François Bertholom; Randal Douc; François Roueff (NeurIPS, 2024)

Variational Diffusion Posterior Sampling with Midpoint Guidance. - Badr Moufad; Yazid Janati; Lisa Bedin; Alain Oliviero Durmus; Randal Douc; Eric Moulines; Jimmy Olsson (ICLR, 2025)