Randal Douc

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 6

Top Topics

Variational Inference

Dirichlet Process

Kullback Leibler

Top Venues

J. Mach. Learn. Res.

Publications

Kamélia Daudel, Randal Douc, François Roueff
Monotonic Alpha-divergence Minimisation for Variational Inference. J. Mach. Learn. Res. 24 (2023)
Charly Andral, Randal Douc, Hugo Marival, Christian P. Robert
The Importance Markov Chain. CoRR (2022)
Randal Douc, Alain Durmus, Aurélien Enfroy, Jimmy Olsson
Boost your favorite Markov Chain Monte Carlo sampler using Kac's theorem: the Kick-Kac teleportation algorithm. CoRR (2022)
Kamélia Daudel, Randal Douc
Mixture weights optimisation for Alpha-Divergence Variational Inference. CoRR (2021)
Kamélia Daudel, Randal Douc, François Roueff
Monotonic Alpha-divergence Minimisation. CoRR (2021)
Kamélia Daudel, Randal Douc
Mixture weights optimisation for Alpha-Divergence Variational Inference. NeurIPS (2021)
Randal Douc, Florian Maire, Jimmy Olsson
On the use of Markov chain Monte Carlo methods for the sampling of mixture models: a statistical perspective. Stat. Comput. 25 (1) (2015)
Florian Maire, Sidonie Lefebvre, Randal Douc, Eric Moulines
An online learning algorithm for mixture models of deformable templates. MLSP (2012)
Olivier Cappé, Randal Douc, Arnaud Guillin, Jean-Michel Marin, Christian P. Robert
Adaptive importance sampling in general mixture classes. Stat. Comput. 18 (4) (2008)
Randal Douc, Olivier Cappé, Eric Moulines
Comparison of Resampling Schemes for Particle Filtering CoRR (2005)
Olivier Cappé, Randal Douc, Eric Moulines, Christian P. Robert
Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring. COMPSTAT (1998)