Structured variational approximations with skew normal decomposable
graphical models

Structured variational approximations with skew normal decomposable graphical models

7 February 2023

Roberto Salomone

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Papers citing "Structured variational approximations with skew normal decomposable graphical models"

16 / 16 papers shown

Title
Implicit copula variational inference M. Smith Rubén Loaiza-Maya 34 7 0 18 Nov 2021
Amortized Variational Inference for Simple Hierarchical Models Abhinav Agrawal Justin Domke BDL 36 24 0 04 Nov 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi-An Ma Michael I. Jordan BDL 125 40 0 30 Jun 2021
Flexible Variational Bayes based on a Copula of a Mixture David Gunawan Robert Kohn David J. Nott 70 12 0 28 Jun 2021
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 167 55 0 23 Mar 2020
Automatic structured variational inference L. Ambrogioni Kate Lin Emily Fertig Sharad Vikram Max Hinne Dave Moore Marcel van Gerven BDL 53 31 0 03 Feb 2020
Scalable and Accurate Variational Bayes for High-Dimensional Binary Regression Models A. Fasano Daniele Durante Giacomo Zanella 59 31 0 15 Nov 2019
High-dimensional copula variational approximation through transformation M. Smith Rubén Loaiza-Maya David J. Nott 67 33 0 16 Apr 2019
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 127 202 0 27 Mar 2017
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 111 76 0 18 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 289 4,807 0 04 Jan 2016
Variational Gaussian Copula Inference Shaobo Han X. Liao David B. Dunson Lawrence Carin 78 56 0 19 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015
A skew Gaussian decomposable graphical model Hamid Zareifard H. Rue M. J. Khaledi Finn Lindgren 51 10 0 20 Sep 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 262 2,627 0 29 Jun 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression Tim Salimans David A. Knowles 118 251 0 28 Jun 2012