User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient

Title
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient
Authors
Keywords
Markov chain Monte Carlo, Approximate sampling, Rates of convergence, Langevin algorithm, Gradient descent
Journal
Publisher
Elsevier BV
Online
2019-03-05
DOI
10.1016/j.spa.2019.02.016

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started