📣 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.

Adaptive Tuning for Metropolis Adjusted Langevin Trajectories (2023)

First Author: Riou-Durand L

Attributed to: New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Publication URI: https://proceedings.mlr.press/v206/riou-durand23a

Type: Conference/Paper/Proceeding/Abstract

Volume: PMLR 206