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Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints

Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints

Chris Chi
Jonathan Weare
Aaron R Dinner
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Papers citing "Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints"

4 / 4 papers shown
Title
Monte Carlo on manifolds in high dimensions
Monte Carlo on manifolds in high dimensions
Kerun Xu
Miranda C. Holmes-Cerfon
46
2
0
21 Aug 2023
The frontier of simulation-based inference
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
172
851
0
04 Nov 2019
emcee: The MCMC Hammer
emcee: The MCMC Hammer
D. Foreman-Mackey
D. Hogg
D. Lang
J. Goodman
90
8,507
0
16 Feb 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
165
4,300
0
18 Nov 2011

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