Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions

4 August 2017

Papers citing "Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions"

20 / 20 papers shown

Title
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI Justin Domke BDL 68 6 0 20 Jun 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 81 101 0 28 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 60 62 0 27 Feb 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 158 135 0 27 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 110 529 0 17 Jan 2017
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 44 29 0 15 Dec 2016
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning Dilin Wang Qiang Liu GAN BDL 112 119 0 06 Nov 2016
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 44 116 0 27 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 65 1,092 0 16 Aug 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 107 47 0 03 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 106 717 0 02 Mar 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 308 4,175 0 21 May 2015
Neural Variational Inference and Learning in Belief Networks A. Mnih Karol Gregor BDL 171 730 0 31 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 131 1,166 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 441 16,940 0 20 Dec 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 252 2,621 0 29 Jun 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression Tim Salimans David A. Knowles 110 252 0 28 Jun 2012
Variational Bayesian Inference with Stochastic Search John Paisley David M. Blei Michael I. Jordan BDL 104 500 0 27 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,280 0 09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 162 4,300 0 18 Nov 2011