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1209.4360
Cited By
Variational Inference in Nonconjugate Models
19 September 2012
Chong-Jun Wang
David M. Blei
BDL
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Papers citing
"Variational Inference in Nonconjugate Models"
18 / 18 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
26
4
0
26 Feb 2020
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao
Edward Grefenstette
Phil Blunsom
DRL
BDL
14
287
0
01 Jun 2017
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
12
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
18
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
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