📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Efficient and generalizable tuning strategies for stochastic gradient MCMC (2023)

First Author: Coullon J

Attributed to: Turing AI Fellowship: Probabilistic Algorithms for Scalable and Computable Approaches to Learning (PASCAL) funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s11222-023-10233-3

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85152680433

Type: Journal Article/Review

Parent Publication: Statistics and Computing

Issue: 3