Mean Field Variational Approximation for Continuous-Time Bayesian Networks

9 May 2012

Papers citing "Mean Field Variational Approximation for Continuous-Time Bayesian Networks"

22 / 22 papers shown

Title
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems Jihoon Chung Zhen Kong 19 1 0 20 Oct 2023
Entropic Matching for Expectation Propagation of Markov Jump Processes Bastian Alt Heinz Koeppl Heinz Koeppl 34 1 0 27 Sep 2023
Neural Markov Jump Processes Patrick Seifner Ramses J. Sanchez BDL 35 7 0 31 May 2023
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference Amine M. Remita Golrokh Vitae Abdoulaye Baniré Diallo BDL 21 0 0 06 Feb 2023
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems Jihoon Chung Bo Shen Zhenyu Zhen Kong 20 2 0 28 Oct 2022
Active Learning of Continuous-time Bayesian Networks through Interventions Dominik Linzner Heinz Koeppl CML 11 2 0 31 May 2021
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions Syed Hasib Akhter Faruqui A. Alaeddini Jing Wang C. Jaramillo CML 14 6 0 31 Jul 2020
Propagation for Dynamic Continuous Time Chain Event Graphs Aditi Shenvi Jim Q. Smith 9 3 0 29 Jun 2020
Structure learning for CTBN's via penalized maximum likelihood methods Maryia Shpak B. Miasojedow Wojciech Rejchel 14 0 0 13 Jun 2020
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes Dominik Linzner Heinz Koeppl 8 1 0 04 Dec 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data Dominik Linzner Michal Schmidt Heinz Koeppl 9 8 0 10 Sep 2019
Moment-Based Variational Inference for Markov Jump Processes C. Wildner Heinz Koeppl 19 10 0 14 May 2019
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology Mathieu Fourment Andrew F. Magee Chris Whidden Arman Bilge Frederick Albert Matsen IV V. Minin 19 47 0 28 Nov 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data Dominik Linzner Heinz Koeppl 13 9 0 12 Sep 2018
Variational inequalities and mean-field approximations for partially observed systems of queueing networks Iker Perez G. Casale 11 3 0 23 Jul 2018
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model Zhen Xu Wen Dong S. Srihari 18 13 0 07 Nov 2016
Unbiased Bayesian Inference for Population Markov Jump Processes via Random Truncations Anastasis Georgoulas J. Hillston G. Sanguinetti 28 39 0 28 Sep 2015
Particle Gibbs algorithms for Markov jump processes B. Miasojedow Wojciech Niemiro 43 4 0 06 May 2015
Intrusion Detection using Continuous Time Bayesian Networks Jing Xu C. Shelton 36 88 0 16 Jan 2014
Fast MCMC sampling for Markov jump processes and extensions Vinayak A. Rao Yee Whye Teh 50 117 0 23 Aug 2012
Factored Filtering of Continuous-Time Systems E. B. Celikkaya C. Shelton William Lam 46 6 0 14 Feb 2012
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks Vinayak A. Rao Yee Whye Teh 41 47 0 14 Feb 2012