Provable Gradient Variance Guarantees for Black-Box Variational Inference

19 June 2019

Papers citing "Provable Gradient Variance Guarantees for Black-Box Variational Inference"

19 / 19 papers shown

Title
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 81 1 0 03 Jun 2024
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 36 34 0 24 Jan 2019
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 57 35 0 30 Oct 2018
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 62 67 0 27 Sep 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 61 58 0 04 Jul 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 52 136 0 07 Feb 2018
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization Jeffrey Regier Michael I. Jordan Jon D. McAuliffe 34 27 0 07 Jun 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 58 84 0 22 May 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 104 201 0 27 Mar 2017
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference Jeffrey Regier Steven R. Howard Ryan Giordano Ryan P. Adams Andy Miller Jon D. McAuliffe Andreas Jensen 43 7 0 10 Nov 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 78 170 0 07 Oct 2016
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 81 77 0 18 May 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 107 47 0 03 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 258 4,787 0 04 Jan 2016
Fast Second-Order Stochastic Backpropagation for Variational Inference Kai Fan Ziteng Wang J. Beck James T. Kwok Katherine A. Heller ODL BDL DRL 46 46 0 09 Sep 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 131 1,166 0 31 Dec 2013
Automated Variational Inference in Probabilistic Programming David Wingate T. Weber BDL TPM 85 138 0 07 Jan 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