Paper: Spectral Partitioning Accelerates Convergence of Finite Markov Chains
michaelchchoi · x · 2026-08-26
A new paper introduces spectral algorithms for selecting state-space partitions to accelerate the convergence of finite, ergodic Markov chains. The method uses weighted k-means on eigenvectors to optimize the averaging kernels.
Related event: New Spectral Partition Algorithm Speeds Up Markov Chain Convergence(2 posts)→
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