Randal Douc

15 papers A* 3Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach.
CoRR
Sebastian Reboul, Hélène Halconruy, Randal Douc
2025 A* conf
Variational Diffusion Posterior Sampling with Midpoint Guidance.
ICLR
Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson
2024 A* conf
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families.
NeurIPS
François Bertholom, Randal Douc, François Roueff
2024 J jnl
Variational Diffusion Posterior Sampling with Midpoint Guidance.
CoRR
Badr Moufad, Yazid Janati, Lisa Bedin, Alain Durmus, Randal Douc, Eric Moulines, Jimmy Olsson
2023 J jnl
Monotonic Alpha-divergence Minimisation for Variational Inference.
J. Mach. Learn. Res.
Kamélia Daudel, Randal Douc, François Roueff
2022 J jnl
Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm.
CoRR
Randal Douc, Alain Durmus, Aurélien Enfroy, Jimmy Olsson
2022 J jnl
The Importance Markov Chain.
CoRR
Charly Andral, Randal Douc, Hugo Marival, Christian P. Robert
2021 A* conf
Mixture weights optimisation for Alpha-Divergence Variational Inference.
NeurIPS
Kamélia Daudel, Randal Douc
2021 J jnl
Mixture weights optimisation for Alpha-Divergence Variational Inference.
CoRR
Kamélia Daudel, Randal Douc
2021 J jnl
Monotonic Alpha-divergence Minimisation.
CoRR
Kamélia Daudel, Randal Douc, François Roueff
2015 J jnl
On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective.
Stat. Comput.
Randal Douc, Florian Maire, Jimmy Olsson
2012 — conf
An online learning algorithm for mixture models of deformable templates.
MLSP
Florian Maire, Sidonie Lefebvre, Randal Douc, Eric Moulines
2008 J jnl
Adaptive importance sampling in general mixture classes.
Stat. Comput.
Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert
2005 J jnl
Comparison of Resampling Schemes for Particle Filtering
CoRR
Randal Douc, Olivier Cappé, Eric Moulines
1998 — conf
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring.
COMPSTAT
Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert