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1206.6848
Cited By
MCMC for doubly-intractable distributions
Conference on Uncertainty in Artificial Intelligence (UAI), 2006
27 June 2012
Iain Murray
Zoubin Ghahramani
D. MacKay
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ArXiv (abs)
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Papers citing
"MCMC for doubly-intractable distributions"
50 / 136 papers shown
Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
Yujie Chen
Antik Chakraborty
A. Bhadra
208
0
0
30 Mar 2026
Sampling from Energy distributions with Target Concrete Score Identity
Sergei Kholkin
Francisco Vargas
Alexander Korotin
177
2
0
27 Oct 2025
Discrete Neural Flow Samplers with Locally Equivariant Transformer
Chinmay Pani
Ruixiang Zhang
Yingzhen Li
490
10
0
23 May 2025
Correcting Mode Proportion Bias in Generalized Bayesian Inference via a Weighted Kernel Stein Discrepancy
Elham Afzali
Saman Muthukumarana
Liqun Wang
324
0
0
03 Mar 2025
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
International Statistical Review (ISR), 2021
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
646
19
0
03 Jan 2025
Ensemble Kalman inversion approximate Bayesian computation
R. Everitt
283
0
0
26 Jul 2024
Electrostatics-based particle sampling and approximate inference
Yongchao Huang
DiffM
332
2
0
28 Jun 2024
Exact Bayesian Gaussian Cox Processes Using Random Integral
Bingjing Tang
Julia Palacios
228
0
0
28 Jun 2024
Bayesian Strategies for Repulsive Spatial Point Processes
Chaoyi Lu
Nial Friel
331
0
0
23 Apr 2024
Clustered Mallows Model
Luiza S. C. Piancastelli
Nial Friel
217
5
0
19 Mar 2024
Repelling-Attracting Hamiltonian Monte Carlo
Siddharth Vishwanath
Hyungsuk Tak
271
2
0
07 Mar 2024
Perfecting MCMC Sampling: Recipes and Reservations
Radu V. Craiu
Xiao-Li Meng
140
0
0
04 Jan 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
Gabriel Agostini
Emma Pierson
Nikhil Garg
266
8
0
18 Dec 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
Neural Information Processing Systems (NeurIPS), 2023
Richard Gao
Michael Deistler
Jakob H. Macke
454
19
0
24 May 2023
Importance is Important: A Guide to Informed Importance Tempering Methods
Guanxun Li
Aaron Smith
Quan Zhou
271
2
0
13 Apr 2023
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
Journal of Computational And Graphical Statistics (JCGS), 2023
Bokgyeong Kang
John Hughes
M. Haran
269
3
0
27 Jan 2023
Maximum Likelihood Learning of Unnormalized Models for Simulation-Based Inference
Pierre Glaser
Michael Arbel
Samo Hromadka
Arnaud Doucet
Arthur Gretton
436
4
0
26 Oct 2022
A correlated pseudo-marginal approach to doubly intractable problems
Yu Yang
M. Quiroz
Robert Kohn
Scott A. Sisson
275
1
0
06 Oct 2022
Marginally Constrained Nonparametric Bayesian Inference through Gaussian Processes
Journal of Statistical Planning and Inference (JSPI), 2022
Bingjing Tang
Vinayak A. Rao
207
0
0
28 Sep 2022
Modelling Populations of Interaction Networks via Distance Metrics
G. Bolt
Simón Lunagómez
Christopher Nemeth
176
1
0
20 Jun 2022
Generalised Bayesian Inference for Discrete Intractable Likelihood
Journal of the American Statistical Association (JASA), 2022
Takuo Matsubara
Jeremias Knoblauch
F. Briol
Chris J. Oates
423
26
0
16 Jun 2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Neural Information Processing Systems (NeurIPS), 2022
Nianqiao P. Ju
Jordan Awan
Ruobin Gong
Vinayak A. Rao
337
27
0
01 Jun 2022
Actor Heterogeneity and Explained Variance in Network Models -- A Scalable Approach through Variational Approximations
Nadja Klein
Goran Kauermann
178
0
0
29 Apr 2022
Sparse Interaction Neighborhood Selection for Markov Random Fields via Reversible Jump and Pseudoposteriors
Victor Freguglia
N. Garcia
329
0
0
12 Apr 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Journal of machine learning research (JMLR), 2022
Guanyang Wang
T. Wang
395
17
0
11 Apr 2022
Direct Sampling with a Step Function
Statistics and computing (Stat. Comput.), 2022
Andrew M. Raim
181
1
0
29 Mar 2022
Bayesian Nonparametric Mixtures of Exponential Random Graph Models for Ensembles of Networks
Sa Ren
Xuepeng Wang
P. Liu
Jian Zhang
162
3
0
20 Jan 2022
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Mario Beraha
R. Corradin
256
1
0
20 Dec 2021
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
Bokgyeong Kang
John Hughes
M. Haran
TPM
616
4
0
10 Sep 2021
The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models
W. van den Boom
A. Beskos
Maria de Iorio
244
23
0
03 Aug 2021
A Survey of Monte Carlo Methods for Parameter Estimation
EURASIP Journal on Advances in Signal Processing (EURASIP JASP), 2020
D. Luengo
Luca Martino
M. Bugallo
Victor Elvira
S. Särkkä
230
207
0
25 Jul 2021
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference
Journal of Computational And Graphical Statistics (JCGS), 2021
Luiza S. C. Piancastelli
Nial Friel
W. Barreto‐Souza
H. Ombao
221
11
0
15 Jul 2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Exponential Family Likelihoods with Intractable Normalizing Constants
Bayesian Analysis (BA), 2021
Quan Vu
M. Moores
A. Zammit‐Mangion
334
2
0
10 May 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Takuo Matsubara
Jeremias Knoblauch
François‐Xavier Briol
Chris J. Oates
UQCV
448
103
0
15 Apr 2021
Discussion of `A Gibbs sampler for a class of random convex polytopes'
Journal of the American Statistical Association (JASA), 2021
P. Diaconis
Guanyang Wang
152
0
0
15 Apr 2021
Bayesian exponential random graph models for populations of networks
B. Lehmann
S. White
228
4
0
11 Apr 2021
Statistical Network Analysis with Bergm
Journal of Statistical Software (JSS), 2021
A. Caimo
Lampros Bouranis
Robert W. Krause
Nial Friel
137
12
0
06 Apr 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification
E. Pompe
309
11
0
26 Mar 2021
Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo
Statistics and computing (Stat Comput), 2021
W. van den Boom
Ajay Jasra
M. De Iorio
A. Beskos
J. Eriksson
297
10
0
09 Mar 2021
Metropolis-Hastings with Averaged Acceptance Ratios
Christophe Andrieu
Sinan Yildiri
Arnaud Doucet
Nicolas Chopin
252
7
0
29 Dec 2020
Score Matched Neural Exponential Families for Likelihood-Free Inference
Journal of machine learning research (JMLR), 2020
Lorenzo Pacchiardi
Ritabrata Dutta
667
30
0
20 Dec 2020
MCMC computations for Bayesian mixture models using repulsive point processes
Journal of Computational And Graphical Statistics (JCGS), 2020
Mario Beraha
R. Argiento
Jesper Møller
A. Guglielmi
379
21
0
12 Nov 2020
Bayesian Indirect Inference for Models with Intractable Normalizing Functions
Jaewoo Park
TPM
250
2
0
06 Aug 2020
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Journal of Computational And Graphical Statistics (JCGS), 2020
Jaewoo Park
Yeseul Jeon
Minsuk Shin
M. Jeon
Ick Hoon Jin
KELM
307
3
0
24 Jun 2020
Distortion estimates for approximate Bayesian inference
Hanwen Xing
Geoff K. Nicholls
J. Lee
278
8
0
19 Jun 2020
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
Statistics and computing (Stat. Comput.), 2020
Yang Liu
Robert J. B. Goudie
447
21
0
02 Jun 2020
On the Theoretical Properties of the Exchange Algorithm
Guanyang Wang
367
4
0
19 May 2020
Kernel-based Approximate Bayesian Inference for Exponential Family Random Graph Models
Fan Yin
C. Butts
333
4
0
17 Apr 2020
Stability of doubly-intractable distributions
Michael Habeck
Daniel Rudolf
Björn Sprungk
310
3
0
15 Apr 2020
Bayesian Computation with Intractable Likelihoods
M. Moores
A. Pettitt
Kerrie Mengersen
TPM
326
4
0
08 Apr 2020
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