New Spectral Partition Algorithm Speeds Up Markov Chain Convergence

A new paper by Michael Choi et al. proposes a spectral partitioning algorithm that selects state space partitions for Markov chain averaging kernels via weighted k-means on the transition matrix's bottom eigenvectors, accelerating convergence.

2026-08-25 ~ 2026-08-26 · 2 related posts

• Spectral partitioning speeds up convergence in finite Markov chains, paper details algorithm — michaelchchoi · 2026-08-25
• Paper: Spectral Partitioning Accelerates Convergence of Finite Markov Chains — michaelchchoi · 2026-08-26