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20242026
most citedWeak Poincaré inequality comparisons for ideal and hybrid slice sampling

1 citations · 1 across the 12 of their papers we have counts for

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stat.CO2026

Non-Uniform Random Scans in Gibbs Sampling and CAVI

Sam Power

Gibbs sampling and coordinate ascent variational inference (CAVI) are two basic coordinate-wise methods for statistical computation. Recent analyses under strong log-concavity esta…

stat.CO2026

A Uniformly Efficient Rejection Sampler for the Multivariate Expectile-Based Distribution

Sam Power

The multivariate expectile-based distribution is a `spiked' perturbation of a multivariate Gaussian distribution, proposed by Arbel et al. in 2023. The rejection sampler proposed f…

stat.CO2026

Uniform efficiency of the Ulrich-Wood sampler for the von Mises-Fisher distribution

Sam Power

The standard approach to stochastic simulation from the von Mises-Fisher distribution is a rejection sampler proposed by Ulrich and Wood. This note provides a theoretical justifica…

stat.CO2026

A Complexity Bound for the Kent-Ganeiber-Mardia Sampler for the Bingham Distribution

Sam Power

The Bingham distribution is a family of antipodally symmetric distributions on the unit sphere, characterised by an exponential-of-quadratic change of measure with respect to the u…

stat.CO2025

Some aspects of robustness in modern Markov Chain Monte Carlo

Sam Power, Giorgos Vasdekis

Markov Chain Monte Carlo (MCMC) is a flexible approach to approximate sampling from intractable probability distributions, with a rich theoretical foundation and comprising a wealt…

stat.CO2025

Analysis of Multiple-try Metropolis via Poincaré inequalities

Rocco Caprio, Sam Power, Andi Q. Wang

We study the Multiple-try Metropolis algorithm using the framework of Poincaré inequalities. We describe the Multiple-try Metropolis as an auxiliary variable implementation of a re…

stat.CO2025

Towards practical PDMP sampling: Metropolis adjustments, locally adaptive step-sizes, and NUTS-based time lengths

Augustin Chevallier, Sam Power, Matthew Sutton

Piecewise-Deterministic Markov Processes (PDMPs) hold significant promise for sampling from complex probability distributions. However, their practical implementation is hindered b…

stat.CO2024★ 1 cited

Weak Poincaré inequality comparisons for ideal and hybrid slice sampling

Sam Power, Daniel Rudolf, Björn Sprungk +1

Using the framework of weak Poincaré inequalities, we provide a general comparison between Hybrid and Ideal Slice Sampling in terms of their corresponding Dirichlet forms. In parti…