Folded Transport MCMC for symmetric Bayesian models

Arxiv CS.LG (machine learning)

Introduces a method to compute quotient posteriors for Bayesian models with finite symmetry, addressing redundant multimodality from label permutations. The approach uses folded transport maps to move samples across symmetric modes.

Arxiv CS.LG (machine learning)·Jun Hu

7 days ago