Piecewise-Deterministic Markov Chain Monte Carlo
Vanetti, P
Bouchard-Côté, A
Deligiannidis, G
Doucet, A
(17 Jul 2017)
Exponential Ergodicity of the Bouncy Particle Sampler
Deligiannidis, G
Bouchard-Côté, A
Doucet, A
(12 May 2017)
Randomized Hamiltonian Monte Carlo as Scaling Limit of the Bouncy Particle Sampler and Dimension-Free Convergence Rates
Deligiannidis, G
Paulin, D
Bouchard-Côté, A
Doucet, A
(13 Aug 2018)
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Cornish, R
Vanetti, P
Bouchard-Côté, A
Deligiannidis, G
Doucet, A
(28 Jan 2019)
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme
Syed, S
Bouchard-Côté, A
Deligiannidis, G
Doucet, A
(08 May 2019)
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Corenflos, A
Thornton, J
Deligiannidis, G
Doucet, A
(15 Feb 2021)
Quantitative Uniform Stability of the Iterative Proportional Fitting Procedure
Deligiannidis, G
De Bortoli, V
Doucet, A
(18 Aug 2021)
From Denoising Diffusions to Denoising Markov Models
Benton, J
Shi, Y
De Bortoli, V
Deligiannidis, G
Doucet, A
(07 Nov 2022)
Error Bounds for Flow Matching Methods
Benton, J
Deligiannidis, G
Doucet, A
(26 May 2023)
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Benton, J
De Bortoli, V
Doucet, A
Deligiannidis, G
(07 Aug 2023)