Variational Approximations between Mean Field Theory and the Junction Tree Algorithm

16 January 2013

Papers citing "Variational Approximations between Mean Field Theory and the Junction Tree Algorithm"

7 / 7 papers shown

Title
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 24 67 0 17 Jan 2020
Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms Iain Murray Zoubin Ghahramani 46 115 0 11 Jul 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 53 2,599 0 29 Jun 2012
A Variational Approach for Approximating Bayesian Networks by Edge Deletion Arthur Choi Adnan Darwiche 48 31 0 27 Jun 2012
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices David Barber 38 11 0 13 Jun 2012
Learning Inclusion-Optimal Chordal Graphs Vincent Auvray L. Wehenkel 48 7 0 13 Jun 2012
Optimization of Structured Mean Field Objectives Alexandre Bouchard-Coté Michael I. Jordan 56 20 0 09 May 2012