Flexible mean field variational inference using mixtures of non-overlapping exponential families

14 October 2020

Papers citing "Flexible mean field variational inference using mixtures of non-overlapping exponential families"

18 / 18 papers shown

Title
Approximating exponential family models (not single distributions) with a two-network architecture Sean R. Bittner John P. Cunningham 29 4 0 18 Mar 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 83 1,043 0 18 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 73 1,759 0 08 Jul 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 67 31 0 06 Jun 2018
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 116 110 0 05 Jun 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 108 684 0 15 Nov 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 51 198 0 27 Mar 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 29 135 0 13 Mar 2017
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 53 483 0 20 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 154 4,748 0 04 Jan 2016
Programming with models: writing statistical algorithms for general model structures with NIMBLE P. de Valpine Daniel Turek C. Paciorek Clifford Anderson-Bergman D. Lang Rastislav Bodík 54 844 0 19 May 2015
On the Relationship between Sum-Product Networks and Bayesian Networks Haiying Zhao Mazen Melibari Pascal Poupart TPM 47 91 0 06 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014
Structured Stochastic Variational Inference Matthew D. Hoffman David M. Blei BDL 46 87 0 16 Apr 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 58 1,157 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 321 16,972 0 20 Dec 2013
Expectation Propagation for approximate Bayesian inference T. Minka 86 1,906 0 10 Jan 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 157 2,605 0 29 Jun 2012