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Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With
  Non-Differentiable Priors

Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors

16 March 2021
Jacob Vorstrup Goldman
Torben Sell
Sumeetpal S. Singh
ArXivPDFHTML

Papers citing "Gradient-Based Markov Chain Monte Carlo for Bayesian Inference With Non-Differentiable Priors"

2 / 2 papers shown
Title
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
Sparse Bayesian Methods for Low-Rank Matrix Estimation
S. D. Babacan
M. Luessi
Rafael Molina
Aggelos K. Katsaggelos
CML
86
285
0
25 Feb 2011
1