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.CO2024★ 1 cited
Sequential Kalman Tuning of the -preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems
Richard D. P. Grumitt, Minas Karamanis, Uroš Seljak
Ensemble Kalman Inversion (EKI) has been proposed as an efficient method for the approximate solution of Bayesian inverse problems with expensive forward models. However, when appl…