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Improving Bridge estimators via $f$-GAN

Improving Bridge estimators via fff-GAN

14 June 2021
Hanwen Xing
    OT
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Papers citing "Improving Bridge estimators via $f$-GAN"

16 / 16 papers shown
Title
Normalizing Constant Estimation with Gaussianized Bridge Sampling
Normalizing Constant Estimation with Gaussianized Bridge Sampling
He Jia
U. Seljak
60
9
0
12 Dec 2019
Neural Spline Flows
Neural Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
DRL
176
775
0
10 Jun 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
140
116
0
24 May 2019
19 dubious ways to compute the marginal likelihood of a phylogenetic
  tree topology
19 dubious ways to compute the marginal likelihood of a phylogenetic tree topology
Mathieu Fourment
Andrew F. Magee
Chris Whidden
Arman Bilge
Frederick Albert Matsen IV
V. Minin
41
47
0
28 Nov 2018
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
108
3,049
0
19 Oct 2017
Masked Autoregressive Flow for Density Estimation
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
207
1,352
0
19 May 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
81
2,106
0
17 Jan 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
100
1,004
0
07 Nov 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Generative Adversarial Nets from a Density Ratio Estimation Perspective
Masatoshi Uehara
Issei Sato
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
GAN
83
104
0
10 Oct 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
137
1,820
0
15 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
151
1,655
0
02 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
263
3,696
0
26 May 2016
Variational Inference with Normalizing Flows
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
313
4,179
0
21 May 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse
  Annealing
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
TPM
141
67
0
30 Dec 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
134
1,166
0
31 Dec 2013
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
223
803
0
04 Sep 2008
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