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Expectation Propogation for approximate inference in dynamic Bayesian
  networks

Expectation Propogation for approximate inference in dynamic Bayesian networks

12 December 2012
Tom Heskes
O. Zoeter
ArXivPDFHTML

Papers citing "Expectation Propogation for approximate inference in dynamic Bayesian networks"

5 / 5 papers shown
Title
A General Offline Reinforcement Learning Framework for Interactive
  Recommendation
A General Offline Reinforcement Learning Framework for Interactive Recommendation
Teng Xiao
Donglin Wang
OffRL
34
73
0
01 Oct 2023
Partitioned Variational Inference: A Framework for Probabilistic
  Federated Learning
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
Matthew Ashman
T. Bui
Cuong V Nguyen
Efstratios Markou
Adrian Weller
S. Swaroop
Richard Turner
FedML
19
12
0
24 Feb 2022
Black-box $α$-divergence Minimization
Black-box ααα-divergence Minimization
José Miguel Hernández-Lobato
Yingzhen Li
Mark Rowland
Daniel Hernández-Lobato
T. Bui
Richard Turner
21
137
0
10 Nov 2015
Expectation Propagation for Neural Networks with Sparsity-promoting
  Priors
Expectation Propagation for Neural Networks with Sparsity-promoting Priors
Pasi Jylänki
A. Nummenmaa
Aki Vehtari
41
36
0
27 Mar 2013
Approximate Inference Algorithms for Hybrid Bayesian Networks with
  Discrete Constraints
Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints
Vibhav Gogate
R. Dechter
TPM
35
45
0
04 Jul 2012
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