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Advances in Variational Inference
v1v2v3 (latest)

Advances in Variational Inference

15 November 2017
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
    BDL
ArXiv (abs)PDFHTML

Papers citing "Advances in Variational Inference"

20 / 120 papers shown
Title
Gaussian Processes for Big Data
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
113
1,237
0
26 Sep 2013
Streaming Variational Bayes
Streaming Variational Bayes
Tamara Broderick
N. Boyd
Andre Wibisono
Ashia Wilson
Michael I. Jordan
85
346
0
25 Jul 2013
Laplace's Method Approximations for Probabilistic Inference in Belief
  Networks with Continuous Variables
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables
Adriano Azevedo-Filho
Ross D. Shachter
65
94
0
27 Feb 2013
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin P. Murphy
Yair Weiss
Michael I. Jordan
3DV
135
1,883
0
23 Jan 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent
  Variable Models
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
Manfred Opper
Ulrich Paquet
Ole Winther
64
14
0
12 Jan 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
138
1,909
0
10 Jan 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012
A New Class of Upper Bounds on the Log Partition Function
A New Class of Upper Bounds on the Log Partition Function
Martin J. Wainwright
Tommi Jaakkola
A. Willsky
101
459
0
12 Dec 2012
Deep Gaussian Processes
Deep Gaussian Processes
Andreas C. Damianou
Neil D. Lawrence
GPBDL
149
1,184
0
02 Nov 2012
Variational Inference in Nonconjugate Models
Variational Inference in Nonconjugate Models
Chong-Jun Wang
David M. Blei
BDL
129
228
0
19 Sep 2012
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
272
1,140
0
25 Jul 2012
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
276
2,628
0
29 Jun 2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear
  Regression
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
122
252
0
28 Jun 2012
Variational Bayesian Inference with Stochastic Search
Variational Bayesian Inference with Stochastic Search
John Paisley
David M. Blei
Michael I. Jordan
BDL
114
499
0
27 Jun 2012
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
S. Ahn
Anoop Korattikara Balan
Max Welling
79
306
0
27 Jun 2012
Fast Variational Inference in the Conjugate Exponential Family
Fast Variational Inference in the Conjugate Exponential Family
J. Hensman
M. Rattray
Neil D. Lawrence
BDL
71
134
0
22 Jun 2012
Nonparametric variational inference
Nonparametric variational inference
S. Gershman
Matt Hoffman
David M. Blei
BDL
111
154
0
18 Jun 2012
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
298
3,282
0
09 Jun 2012
Overlapping Mixtures of Gaussian Processes for the Data Association
  Problem
Overlapping Mixtures of Gaussian Processes for the Data Association Problem
Miguel Lazaro-Gredilla
S. Van Vaerenbergh
Neil D. Lawrence
92
103
0
16 Aug 2011
Hybrid Deterministic-Stochastic Methods for Data Fitting
Hybrid Deterministic-Stochastic Methods for Data Fitting
M. Friedlander
Mark Schmidt
213
388
0
13 Apr 2011
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