We propose a covariance-preconditioned kinetic Langevin ensemble sampler named PICKLES. This is a kinetic analogue of the affine invariant interacting Langevin dynamics (ALDI). PICKLES uses a rectangular covariance square root as a preconditioner to avoid computing matrix inverses or square roots, leading to position a...
Hong-Ye Tan, Stanley J. Osher, Yi-Fan Chen· 0 citations
Affine-invariant ensemble samplers are widely used in Bayesian applications. However, their quantitative convergence theory, in particular geometric ergodicity, remains a basic open question. We study the affine invariant ensemble Langevin dynamics, an interacting particle system that uses the empirical covariance of t...
Affine-invariant ensemble samplers are widely used in Bayesian applications. However, their quantitative convergence theory, in particular geometric ergodicity, remains a basic open question. We study the affine invariant ensemble Langevin dynamics, an interacting particle system that uses the empirical covariance of t...
Hong-Yew Tan, Yi-Fan Chen· 0 citations
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