Bayes Reading Group: Bob Carpenter (CCM)

America/New_York
3rd Floor Conference Room/3-Flatiron Institute (162 5th Avenue)

3rd Floor Conference Room/3-Flatiron Institute

162 5th Avenue

40
Description

Discussion Lead: Bob Carpenter [CCM]
Topic: Bales, Pourzanjani, Petzold. 2019.  Selecting the metric in HMC. 
Link: https://arxiv.org/abs/1905.11916
Abstract: We present a selection criterion for the Euclidean metric adapted during warmup in a Hamiltonian Monte Carlo sampler that makes it possible for a sampler to automatically pick the metric based on the model and the availability of warmup draws. Additionally, we present a new adaptation inspired by the selection criterion that requires significantly fewer warmup draws to be effective. The effectiveness of the selection criterion and adaptation are demonstrated on a number of applied problems. An implementation for the Stan probabilistic programming language is provided.

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