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A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
23 September 2022
Oleg Arenz
Philipp Dahlinger
Zihan Ye
Michael Volpp
Gerhard Neumann
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Papers citing
"A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models"
27 / 27 papers shown
Title
Learned Reference-based Diffusion Sampling for multi-modal distributions
Maxence Noble
Louis Grenioux
Marylou Gabrié
Alain Durmus
DiffM
82
6
0
25 Oct 2024
NETS: A Non-Equilibrium Transport Sampler
M. S. Albergo
Eric Vanden-Eijnden
DiffM
104
21
0
03 Oct 2024
Monotonic Alpha-divergence Minimisation for Variational Inference
Kamélia Daudel
Randal Douc
François Roueff
65
9
0
09 Mar 2021
Tractable structured natural gradient descent using local parameterizations
Wu Lin
Frank Nielsen
Mohammad Emtiyaz Khan
Mark Schmidt
57
30
0
15 Feb 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning
Fabian Otto
P. Becker
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
OffRL
65
19
0
22 Jan 2021
Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides
Marco Ewerton
Oleg Arenz
Jan Peters
11
18
0
12 Aug 2020
Automatic Differentiation Variational Inference with Mixtures
Warren Morningstar
Sharad M. Vikram
Cusuh Ham
Andrew Gallagher
Joshua V. Dillon
DRL
BDL
41
20
0
03 Mar 2020
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
Wu Lin
Mark Schmidt
Mohammad Emtiyaz Khan
BDL
73
36
0
24 Feb 2020
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
P. Becker
Oleg Arenz
Gerhard Neumann
23
16
0
23 Jan 2020
Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
Wu Lin
Mohammad Emtiyaz Khan
Mark Schmidt
71
31
0
29 Oct 2019
Trust-Region Variational Inference with Gaussian Mixture Models
Oleg Arenz
Mingjun Zhong
Gerhard Neumann
59
20
0
10 Jul 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations
Wu Lin
Mohammad Emtiyaz Khan
Mark Schmidt
BDL
47
70
0
07 Jun 2019
Compatible Natural Gradient Policy Search
Joni Pajarinen
Hong Linh Thai
R. Akrour
Jan Peters
Gerhard Neumann
41
22
0
07 Feb 2019
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models
Mohammad Emtiyaz Khan
Didrik Nielsen
BDL
77
63
0
12 Jul 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
149
272
0
13 Jun 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
Hugh Salimbeni
Stefanos Eleftheriadis
J. Hensman
BDL
73
86
0
24 Mar 2018
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier
Michael I. Jordan
Jon D. McAuliffe
34
28
0
07 Jun 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder
Yuhuai Wu
David Duvenaud
BDL
112
201
0
27 Mar 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models
Mohammad Emtiyaz Khan
Wu Lin
BDL
51
137
0
13 Mar 2017
Variational Boosting: Iteratively Refining Posterior Approximations
Andrew C. Miller
N. Foti
Ryan P. Adams
51
125
0
20 Nov 2016
Boosting Variational Inference
Fangjian Guo
Xiangyu Wang
Kai Fan
Tamara Broderick
David B. Dunson
BDL
113
76
0
17 Nov 2016
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions
Mohammad Emtiyaz Khan
Reza Babanezhad
Wu Lin
Mark Schmidt
Masashi Sugiyama
61
50
0
31 Oct 2015
A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis
Matthew D. Hoffman
53
43
0
28 May 2015
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,776
0
19 Feb 2015
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
259
2,625
0
29 Jun 2012
Nonparametric variational inference
S. Gershman
Matt Hoffman
David M. Blei
BDL
104
154
0
18 Jun 2012
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