Automated Variational Inference in Probabilistic Programming

7 January 2013

Papers citing "Automated Variational Inference in Probabilistic Programming"

20 / 70 papers shown

Title
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 102 97 0 14 Feb 2018
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 285 282 0 21 Mar 2017
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 91 116 0 27 Oct 2016
Deep Amortized Inference for Probabilistic Programs Daniel E. Ritchie Paul Horsfall Noah D. Goodman TPM 111 82 0 18 Oct 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 133 169 0 07 Oct 2016
Spreadsheet Probabilistic Programming Mike Wu Yura N. Perov Frank Wood Hongseok Yang 49 3 0 14 Jun 2016
Applications of Probabilistic Programming (Master's thesis, 2015) Yura N. Perov 55 4 0 31 May 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks Daniel E. Ritchie Anna T. Thomas Pat Hanrahan Noah D. Goodman TPM 69 11 0 19 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 153 47 0 03 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 133 719 0 02 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 374 4,829 0 04 Jan 2016
Black-Box Policy Search with Probabilistic Programs Jan-Willem van de Meent Brooks Paige David Tolpin Frank Wood 120 24 0 16 Jul 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 190 395 0 17 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 99 233 0 10 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 371 4,203 0 21 May 2015
Deep Exponential Families Rajesh Ranganath Linpeng Tang Laurent Charlin David M. Blei BDL 67 153 0 10 Nov 2014
Venture: a higher-order probabilistic programming platform with programmable inference Vikash K. Mansinghka Daniel Selsam Yura N. Perov 106 256 0 01 Apr 2014
On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear Regression Tim Salimans David A. Knowles BDL 232 34 0 06 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 190 1,167 0 31 Dec 2013
D $^3$ PO - Denoising, Deconvolving, and Decomposing Photon Observations M. Selig T. Ensslin 69 30 0 08 Nov 2013