ResearchTrend.AI
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

Alain Durmus
Samuel Gruffaz
Miika Kailas
E. Saksman
M. Vihola
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
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
53
1
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
Bob Carpenter
Milo Marsden
148
7
0
23 Apr 2024
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm
Miguel Biron-Lattes
Nikola Surjanovic
Saifuddin Syed
Trevor Campbell
Alexandre Bouchard-Côté
122
12
0
25 Oct 2023