153 citations · 545 across the 29 of their papers we have counts for
3 papers · 1 filter
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen
Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry…
Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods
Xiaohao Cai, Marcelo Pereyra, Jason D. McEwen
Uncertainty quantification is a critical missing component in radio interferometric imaging that will only become increasingly important as the big-data era of radio interferometry…
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo
Nicolas Brosse, Alain Durmus, Éric Moulines +1
This paper presents a detailed theoretical analysis of the Langevin Monte Carlo sampling algorithm recently introduced in Durmus et al. (Efficient Bayesian computation by proximal…