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Nonreversible MCMC from conditional invertible transforms: a complete
  recipe with convergence guarantees
v1v2 (latest)

Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees

31 December 2020
Achille Thin
Nikita Kotolevskii
Christophe Andrieu
Alain Durmus
Eric Moulines
Maxim Panov
ArXiv (abs)PDFHTML

Papers citing "Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees"

4 / 4 papers shown
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu
Yi-Ting Ma
Do Young Eun
441
0
0
23 May 2025
Self-Repellent Random Walks on General Graphs -- Achieving Minimal
  Sampling Variance via Nonlinear Markov Chains
Self-Repellent Random Walks on General Graphs -- Achieving Minimal Sampling Variance via Nonlinear Markov ChainsInternational Conference on Machine Learning (ICML), 2023
Vishwaraj Doshi
Jie Hu
Do Young Eun
313
6
0
08 May 2023
Monte Carlo Variational Auto-Encoders
Monte Carlo Variational Auto-EncodersInternational Conference on Machine Learning (ICML), 2021
Achille Thin
Nikita Kotelevskii
Arnaud Doucet
Alain Durmus
Eric Moulines
Maxim Panov
BDLDRL
154
50
0
30 Jun 2021
A general perspective on the Metropolis-Hastings kernel
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
318
28
0
29 Dec 2020
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