5 citations · 15 across the 8 of their papers we have counts for
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stat.CO2026
Wasserstein mixing of a systematic-scan random rotation sampler
Amir Sepehri
We study the mixing time of a systematic-scan analogue of Kac's walk that was proposed as a fast surrogate for Haar-distributed orthogonal matrices in randomized high-dimensional a…
stat.CO2018★ 1 cited
Bouncy Hybrid Sampler as a Unifying Device
Jelena Markovic, Amir Sepehri
This work introduces a class of rejection-free Markov chain Monte Carlo (MCMC) samplers, named the Bouncy Hybrid Sampler, which unifies several existing methods from the literature…
stat.CO2017★ 2 cited
Non-reversible, tuning- and rejection-free Markov chain Monte Carlo via iterated random functions
Amir Sepehri, Jelena Markovic
In this work we present a non-reversible, tuning- and rejection-free Markov chain Monte Carlo which naturally fits in the framework of hit-and-run. The sampler only requires access…