ResearchTrend.AI
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

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

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.