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The Apogee to Apogee Path Sampler

The Apogee to Apogee Path Sampler

15 December 2021
Chris Sherlock
S. Urbas
Matthew Ludkin
ArXivPDFHTML

Papers citing "The Apogee to Apogee Path Sampler"

7 / 7 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
28
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
43
6
0
23 Apr 2024
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
25
5
0
07 Jul 2023
Sampling algorithms in statistical physics: a guide for statistics and
  machine learning
Sampling algorithms in statistical physics: a guide for statistics and machine learning
Michael F Faulkner
Samuel Livingstone
13
6
0
09 Aug 2022
Automatic Zig-Zag sampling in practice
Automatic Zig-Zag sampling in practice
Alice Corbella
S. Spencer
Gareth O. Roberts
10
20
0
22 Jun 2022
Metropolis Adjusted Langevin Trajectories: a robust alternative to
  Hamiltonian Monte Carlo
Metropolis Adjusted Langevin Trajectories: a robust alternative to Hamiltonian Monte Carlo
L. Riou-Durand
Jure Vogrinc
18
14
0
26 Feb 2022
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
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