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James Brofos

2 accepted papers

2022

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals

AISTATS 2022poster

Markov Chain Monte Carlo (MCMC) methods are a powerful tool for computation with complex probability distributions. However the performance of such methods is critically dependent on properly tuned parameters, most of which are difficult if not impossible to know a priori for a given target distribu…

2021

Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo

ICML 2021spotlight

Riemannian manifold Hamiltonian Monte Carlo is traditionally carried out using the generalized leapfrog integrator. However, this integrator is not the only choice and other integrators yielding valid Markov chain transition operators may be considered. In this work, we examine the implicit midpoint…

Cited by 10SourcePDFScholar