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Online but Accurate Inference for Latent Variable Models with Local
  Gibbs Sampling
v1v2v3v4v5 (latest)

Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling

8 March 2016
Christophe Dupuy
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling"

3 / 3 papers shown
Title
Challenges in Markov chain Monte Carlo for Bayesian neural networks
Challenges in Markov chain Monte Carlo for Bayesian neural networks
Theodore Papamarkou
Jacob D. Hinkle
M. T. Young
D. Womble
BDL
131
51
0
15 Oct 2019
The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for
  semi-Markov processes
The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes
Andrea Arfe
S. Peluso
P. Muliere
37
3
0
01 Dec 2018
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
Daniel Seita
Xinlei Pan
Haoyu Chen
John F. Canny
93
44
0
19 Oct 2016
1