This article provides a comprehensive synthesis of the recent developmen...
The problem of model selection is considered for the setting of interpol...
Water is the lifeblood of river networks, and its quality plays a crucia...
Although there is much recent work developing flexible variational metho...
Federated learning methods, that is, methods that perform model training...
Building on a strong foundation of philosophy, theory, methods and
compu...
Reversible jump Markov chain Monte Carlo (RJMCMC) proposals that achieve...
New sampling algorithms based on simulating continuous-time stochastic
p...
Spectral subsampling MCMC was recently proposed to speed up Markov chain...
Stein importance sampling is a widely applicable technique based on
kern...
Bayesian inference using Markov Chain Monte Carlo (MCMC) on large datase...
For sampling from a log-concave density, we study implicit integrators
r...
We introduce a new class of sequential Monte Carlo methods called Nested...
We introduce a novel unbiased estimator for the density of a sum of rand...