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Structured Stochastic Variational Inference

Structured Stochastic Variational Inference

16 April 2014
Matthew D. Hoffman
David M. Blei
    BDL
ArXivPDFHTML

Papers citing "Structured Stochastic Variational Inference"

18 / 18 papers shown
Title
Batch, match, and patch: low-rank approximations for score-based variational inference
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi
Diana Cai
Lawrence K. Saul
BDL
39
1
0
29 Oct 2024
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
Vy Vo
Trung Le
L. Vuong
He Zhao
Edwin V. Bonilla
Dinh Q. Phung
OT
21
4
0
25 May 2023
PAVI: Plate-Amortized Variational Inference
PAVI: Plate-Amortized Variational Inference
Louis Rouillard
Thomas Moreau
Demian Wassermann
27
1
0
10 Jun 2022
Relay Variational Inference: A Method for Accelerated Encoderless VI
Relay Variational Inference: A Method for Accelerated Encoderless VI
Amir Zadeh
Santiago Benoit
Louis-Philippe Morency
DRL
17
1
0
26 Oct 2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To
  Pyramidal Bayesian Models
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard
Demian Wassermann
36
2
0
23 Jun 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian
  Online Learning
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li
Alex Boyd
Padhraic Smyth
Stephan Mandt
15
21
0
15 Dec 2020
Flexible mean field variational inference using mixtures of
  non-overlapping exponential families
Flexible mean field variational inference using mixtures of non-overlapping exponential families
J. Spence
17
4
0
14 Oct 2020
Global inducing point variational posteriors for Bayesian neural
  networks and deep Gaussian processes
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian W. Ober
Laurence Aitchison
BDL
26
60
0
17 May 2020
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Coordinated Multi-Agent Imitation Learning
Coordinated Multi-Agent Imitation Learning
Hoang Minh Le
Yisong Yue
Peter Carr
P. Lucey
31
187
0
09 Mar 2017
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense
  Multi-Label CRFs
Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs
Raphael Meier
Urspeter Knecht
Alain Jungo
Roland Wiest
M. Reyes
21
6
0
01 Mar 2017
Deep Probabilistic Programming
Deep Probabilistic Programming
Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
E. Brevdo
Kevin Patrick Murphy
David M. Blei
BDL
36
193
0
13 Jan 2017
Adversarial Message Passing For Graphical Models
Adversarial Message Passing For Graphical Models
Theofanis Karaletsos
GAN
27
29
0
15 Dec 2016
Online but Accurate Inference for Latent Variable Models with Local
  Gibbs Sampling
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling
Christophe Dupuy
Francis R. Bach
13
17
0
08 Mar 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
38
4,710
0
04 Jan 2016
Hierarchical Variational Models
Hierarchical Variational Models
Rajesh Ranganath
Dustin Tran
David M. Blei
DRL
VLM
17
335
0
07 Nov 2015
Copula variational inference
Copula variational inference
Dustin Tran
David M. Blei
E. Airoldi
18
5
0
10 Jun 2015
A trust-region method for stochastic variational inference with
  applications to streaming data
A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis
Matthew D. Hoffman
23
42
0
28 May 2015
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