11 citations · 41 across the 15 of their papers we have counts for
3 papers · 1 filter
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
Takuo Matsubara, Andrew Duncan, Simon Cotter +1
We propose bandit importance sampling (BIS), a powerful importance sampling framework tailored for settings in which evaluating the target density is computationally expensive. BIS…
Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities
Jessica E. Forsyth, Ali H. Al-Anbaki, Berenika Plusa +1
We consider the problem of landmark matching between two unlabelled point sets, in particular where the number of points in each cloud may differ, and where points in each cloud ma…
NuZZ: numerical Zig-Zag sampling for general models
Filippo Pagani, Augustin Chevallier, Sam Power +2
Markov chain Monte Carlo (MCMC) is a key algorithm in computational statistics, and as datasets grow larger and models grow more complex, many popular MCMC algorithms become too co…