465 citations · 776 across the 17 of their papers we have counts for
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stat.ML2024★ 3 cited
Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo
Minas Karamanis, Uroš Seljak
Sequential Monte Carlo (SMC) samplers are powerful tools for Bayesian inference but suffer from high computational costs due to their reliance on large particle ensembles for accur…
stat.ML2020★ 57 cited
Ensemble Slice Sampling: Parallel, black-box and gradient-free inference for correlated & multimodal distributions
Minas Karamanis, Florian Beutler
Slice Sampling has emerged as a powerful Markov Chain Monte Carlo algorithm that adapts to the characteristics of the target distribution with minimal hand-tuning. However, Slice S…