Papers citing 'Bayesian Inference in the Presence of Intractable Normalizing Functions'

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 272 14 0 03 Jan 2025
Generalised Bayesian Inference for Discrete Intractable Likelihood Takuo Matsubara Jeremias Knoblauch F. Briol Chris J. Oates 157 19 0 16 Jun 2022
Optimality in Noisy Importance Sampling F. Llorente Luca Martino Jesse Read D. Delgado 141 5 0 07 Jan 2022
A principled stopping rule for importance sampling Medha Agarwal Dootika Vats Victor Elvira 96 2 0 30 Aug 2021
Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly-Intractable Bayesian Inference Luiza S. C. Piancastelli Nial Friel W. Barreto‐Souza H. Ombao 97 10 0 15 Jul 2021
Robust Generalised Bayesian Inference for Intractable Likelihoods Takuo Matsubara Jeremias Knoblauch François‐Xavier Briol Chris J. Oates UQCV 119 83 0 15 Apr 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference Lorenzo Pacchiardi Ritabrata Dutta 294 28 0 20 Dec 2020
Bayesian Indirect Inference for Models with Intractable Normalizing Functions Jaewoo Park TPM 85 2 0 06 Aug 2020
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data Jaewoo Park Yeseul Jeon Minsuk Shin M. Jeon Ick Hoon Jin KELM 109 2 0 24 Jun 2020
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models Yang Liu Robert J. B. Goudie 142 19 0 02 Jun 2020
On the Theoretical Properties of the Exchange Algorithm Guanyang Wang 156 4 0 19 May 2020
Stability of doubly-intractable distributions Michael Habeck Daniel Rudolf Björn Sprungk 94 3 0 15 Apr 2020
A numerically stable algorithm for integrating Bayesian models using Markov melding A. A. Manderson Robert J. B. Goudie 95 3 0 22 Jan 2020
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data Jaewoo Park Ick Hoon Jin M. Schweinberger 130 9 0 17 Nov 2019
A Kernel Stein Test for Comparing Latent Variable Models Heishiro Kanagawa Wittawat Jitkrittum Lester W. Mackey Kenji Fukumizu Arthur Gretton 153 13 0 01 Jul 2019
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 140 18 0 10 Nov 2018
Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations F. Medina-Aguayo Daniel Rudolf Nikolaus Schweizer 84 25 0 25 Sep 2018
Unbiased Markov chain Monte Carlo for intractable target distributions Lawrence Middleton George Deligiannidis Arnaud Doucet Pierre E. Jacob 108 33 0 23 Jul 2018
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical Models Reza Mohammadi H. Massam G. Letac CML 123 22 0 14 Jun 2017