Michael C. H. Choi

activity

20232026

most citedInformation divergences of Markov chains and their applications

1 citations · 1 across the 9 of their papers we have counts for

collaborators

Showing 2026Show all

3 papers · 1 filter

stat.ML2026

Spectral partitioning for $k$ -block averaging kernels of finite Markov chains

Michael C. H. Choi, Youjia Wang

We develop spectral algorithms for selecting state-space partitions that define averaging kernels for finite, ergodic and reversible Markov chains. For a partition $O$ , th…

math.PR2026

On additive averaging kernels for finite Markov chains

Ryan J. Y. Lim, Michael C. H. Choi

We study additive mixtures of Markov kernels of the form $A_{α} = α P + (1 - α) G$ , where $α \in [0, 1]$ , $P$ is a baseline sampler and $G$ is a Gibbs kernel induced by a partition of the s…

math.PR2026

Optimising two-block averaging kernels to speed up Markov chains

Ryan J. Y. Lim, Michael C. H. Choi

We study the problem of selecting optimal two-block partitions to accelerate the mixing of finite Markov chains under group-averaging transformations. The main objectives considere…

Spectral partitioning for k-block averaging kernels of finite Markov chains

On additive averaging kernels for finite Markov chains

Optimising two-block averaging kernels to speed up Markov chains

Spectral partitioning for $k$ -block averaging kernels of finite Markov chains