bayesian phylogenetic inference is currently done via Markov chain Monte
Carlo (MCMC) with simple proposal mechanisms. This hinders exploration
efficiency and often requires long runs to deliver accurate posterior
estimates. In this paper, we present an alternative approach: a variatio