Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2307.03460
Cited By

On the convergence of dynamic implementations of Hamiltonian Monte Carlo
and No U-Turn Samplers

On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers

7 July 2023

ArXiv (abs)PDF HTML Github

Papers citing "On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers"

3 / 3 papers shown

Mixing of the No-U-Turn Sampler and the Geometry of Gaussian
Concentration

Mixing of the No-U-Turn Sampler and the Geometry of Gaussian Concentration

Nawaf Bou-Rabee

Stefan Oberdörster

250

5

0

09 Oct 2024

GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo

GIST: Gibbs self-tuning for locally adaptive Hamiltonian Monte Carlo

Nawaf Bou-Rabee

507

14

0

23 Apr 2024

autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm

autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithmInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Miguel Biron-Lattes

Nikola Surjanovic

Trevor Campbell

Alexandre Bouchard-Côté

405

21

0

25 Oct 2023

Page 1 of 1