Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo

no code implementations • 9 Mar 2023 • Chengkun Li, Grégoire Clarté, Luigi Acerbi

First, we make VBMC scalable to a large number of pre-existing evaluations via sparse GP regression, deriving novel Bayesian quadrature formulae and acquisition functions for active learning with sparse GPs.

Active Learning Bayesian Inference

A Phylogenetic Model of the Evolution of Discrete Matrices for the Joint Inference of Lexical and Phonological Language Histories

1 code implementation • 24 Jun 2022 • Grégoire Clarté, Robin J. Ryder

We propose a model of the evolution of a matrix along a phylogenetic tree, in which transformations affect either entire rows or columns of the matrix.