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Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods
20 August 2014
Nial Friel
Antonietta Mira
Chris J. Oates
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Papers citing
"Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods"
13 / 13 papers shown
Title
Meta-learning Control Variates: Variance Reduction with Limited Data
Z. Sun
Chris J. Oates
F. Briol
BDL
94
9
0
08 Mar 2023
Variance reduction for dependent sequences with applications to Stochastic Gradient MCMC
Denis Belomestny
L. Iosipoi
Eric Moulines
A. Naumov
S. Samsonov
66
6
0
16 Aug 2020
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Shijing Si
Chris J. Oates
Andrew B. Duncan
Lawrence Carin
F. Briol
BDL
56
21
0
12 Jun 2020
Semi-Exact Control Functionals From Sard's Method
Leah F. South
Toni Karvonen
Christopher Nemeth
Mark Girolami
Chris J. Oates
78
17
0
31 Jan 2020
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data
Jaewoo Park
Ick Hoon Jin
M. Schweinberger
44
7
0
17 Nov 2019
Particle Methods for Stochastic Differential Equation Mixed Effects Models
Imke Botha
Robert Kohn
Christopher C. Drovandi
51
21
0
25 Jul 2019
A Kernel Stein Test for Comparing Latent Variable Models
Heishiro Kanagawa
Wittawat Jitkrittum
Lester W. Mackey
Kenji Fukumizu
Arthur Gretton
80
13
0
01 Jul 2019
Regularized Zero-Variance Control Variates
Leah F. South
Chris J. Oates
Antonietta Mira
Christopher C. Drovandi
BDL
104
19
0
13 Nov 2018
Efficient MCMC for Gibbs Random Fields using pre-computation
A. Boland
Nial Friel
Florian Maire
90
19
0
11 Oct 2017
Noisy Hamiltonian Monte Carlo for doubly-intractable distributions
Julien Stoehr
Alan Benson
Nial Friel
53
11
0
30 Jun 2017
Control Variates for Stochastic Gradient MCMC
Jack Baker
Paul Fearnhead
E. Fox
Christopher Nemeth
BDL
91
101
0
16 Jun 2017
Optimal approximating Markov chains for Bayesian inference
J. Johndrow
Jonathan C. Mattingly
Sayan Mukherjee
David B. Dunson
98
31
0
13 Aug 2015
Ergodicity of Approximate MCMC Chains with Applications to Large Data Sets
Natesh S. Pillai
Aaron Smith
96
59
0
01 May 2014
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