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Embarrassingly parallel MCMC using deep invertible transformations

Embarrassingly parallel MCMC using deep invertible transformations

11 March 2019
Diego Mesquita
P. Blomstedt
Samuel Kaski
ArXivPDFHTML

Papers citing "Embarrassingly parallel MCMC using deep invertible transformations"

10 / 10 papers shown
Title
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
265
3,124
0
09 Jul 2018
Accelerating MCMC Algorithms
Accelerating MCMC Algorithms
Christian P. Robert
Victor Elvira
Nicholas G. Tawn
Changye Wu
60
141
0
08 Apr 2018
Merging MCMC Subposteriors through Gaussian-Process Approximations
Merging MCMC Subposteriors through Gaussian-Process Approximations
Christopher Nemeth
Chris Sherlock
54
50
0
27 May 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
233
3,689
0
26 May 2016
Patterns of Scalable Bayesian Inference
Patterns of Scalable Bayesian Inference
E. Angelino
Matthew J. Johnson
Ryan P. Adams
88
87
0
16 Feb 2016
A Complete Recipe for Stochastic Gradient MCMC
A Complete Recipe for Stochastic Gradient MCMC
Yian Ma
Tianqi Chen
E. Fox
BDL
SyDa
60
486
0
15 Jun 2015
Parallelizing MCMC with Random Partition Trees
Parallelizing MCMC with Random Partition Trees
Xiangyu Wang
Fangjian Guo
Katherine A. Heller
David B. Dunson
80
76
0
10 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
Speeding Up MCMC by Efficient Data Subsampling
Speeding Up MCMC by Efficient Data Subsampling
M. Quiroz
Robert Kohn
M. Villani
Minh-Ngoc Tran
72
175
0
16 Apr 2014
Asymptotically Exact, Embarrassingly Parallel MCMC
Asymptotically Exact, Embarrassingly Parallel MCMC
Willie Neiswanger
Chong-Jun Wang
Eric Xing
FedML
77
330
0
19 Nov 2013
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