Manifold lifting: scaling MCMC to the vanishing noise regime
Khai Xiang Au, Matthew M. Graham, Alexandre H. Thiery (2023)
Journal of the Royal Statistical Society Series B: Statistical Methodology
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
Omar Chehab, Aapo Hyvärinen, Andrej Risteski (2023)
NeurIPS
An Invitation to Sequential Monte Carlo Samplers.
C. Dai, J. Heng, P. Jacob, N. Whiteley (2022)
Journal of the American Statistical Association
Gibbs flow for approximate transport with applications to Bayesian computation
Jeremy Heng, Arnaud Doucet, Yvo Pokern (2021)
JRSSB
Unbiased Markov chain Monte Carlo with couplings
Pierre E. Jacob, John O'Leary, Yves F. Atchadé (2020)
JRSSB
Measuring Sample Quality with Stein’s Method
Jackson Gorham, Lester Mackey (2015)
NeurIPS
Likelihood-free parallel tempering
Meïli Baragatti, Agnès Grimaud, Denys Pommeret (2013)
Stat Comput