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Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov
  Chain Monte Carlo Methods

Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods

16 July 2021
Marylou Gabrié
Grant M. Rotskoff
Eric Vanden-Eijnden
ArXivPDFHTML

Papers citing "Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods"

2 / 2 papers shown
Title
Sampling using Adaptive Regenerative Processes
Sampling using Adaptive Regenerative Processes
Hector McKimm
Andi Q. Wang
M. Pollock
Christian P. Robert
Gareth O. Roberts
26
1
0
18 Oct 2022
A gradient-free subspace-adjusting ensemble sampler for
  infinite-dimensional Bayesian inverse problems
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems
Matthew M. Dunlop
G. Stadler
BDL
16
6
0
22 Feb 2022
1