Variational Inference in Nonconjugate Models

19 September 2012

Papers citing "Variational Inference in Nonconjugate Models"

20 / 20 papers shown

Title
Particle Mean Field Variational Bayes Minh-Ngoc Tran Paco Tseng Robert Kohn 32 3 0 24 Mar 2023
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets L. Benedetti Eric Boniardi Leonardo Chiani Jacopo Ghirri Marta Mastropietro A. Cappozzo Francesco Denti 29 0 0 04 Dec 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation M. Wojnowicz Shuchin Aeron Eric L. Miller M. C. Hughes 16 2 0 31 May 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 19 18 0 28 Jan 2022
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 63 73 0 09 Jul 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 29 4 0 26 Feb 2020
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
General Latent Feature Models for Heterogeneous Datasets Isabel Valera Melanie F. Pradier Maria Lomeli Zoubin Ghahramani 19 18 0 12 Jun 2017
Discovering Discrete Latent Topics with Neural Variational Inference Yishu Miao Edward Grefenstette Phil Blunsom DRL BDL 14 25 0 01 Jun 2017
Edward: A library for probabilistic modeling, inference, and criticism Dustin Tran A. Kucukelbir Adji Bousso Dieng Maja R. Rudolph Dawen Liang David M. Blei 16 300 0 31 Oct 2016
Exponential Family Mixed Membership Models for Soft~Clustering of Multivariate Data Arthur J. White T. B. Murphy 19 22 0 10 Aug 2016
Scaling up Dynamic Topic Models Arnab Bhadury Jianfei Chen Jun Zhu Shixia Liu BDL 30 67 0 19 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 32 4,705 0 04 Jan 2016
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark W. Schmidt Masashi Sugiyama 28 49 0 31 Oct 2015
A General Method for Robust Bayesian Modeling Chong-Jun Wang David M. Blei OOD 15 53 0 17 Oct 2015
Correlated Random Measures Rajesh Ranganath David M. Blei 22 21 0 02 Jul 2015
Celeste: Variational inference for a generative model of astronomical images Jeffrey Regier Andrew C. Miller Jon D. McAuliffe Ryan P. Adams Matt Hoffman D. Lang D. Schlegel Adobe Research GAN 21 37 0 03 Jun 2015
Performing Bayesian Risk Aggregation using Discrete Approximation Algorithms with Graph Factorization Peng Lin 21 4 0 02 Jun 2015
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 53 2,599 0 29 Jun 2012