Coreset Markov Chain Monte Carlo

1 code implementation • 25 Oct 2023 • Naitong Chen, Trevor Campbell

A Bayesian coreset is a small, weighted subset of data that replaces the full dataset during inference in order to reduce computational cost.

MixFlows: principled variational inference via mixed flows

2 code implementations • 16 May 2022 • Zuheng Xu, Naitong Chen, Trevor Campbell

This work presents mixed variational flows (MixFlows), a new variational family that consists of a mixture of repeated applications of a map to an initial reference distribution.

Variational Inference

Bayesian inference via sparse Hamiltonian flows

1 code implementation • 11 Mar 2022 • Naitong Chen, Zuheng Xu, Trevor Campbell

A Bayesian coreset is a small, weighted subset of data that replaces the full dataset during Bayesian inference, with the goal of reducing computational cost.

Bayesian Inference