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1207.4134
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Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms
Conference on Uncertainty in Artificial Intelligence (UAI), 2004
11 July 2012
Iain Murray
Zoubin Ghahramani
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Papers citing
"Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms"
19 / 19 papers shown
Bayesian Strategies for Repulsive Spatial Point Processes
Chaoyi Lu
Nial Friel
331
0
0
23 Apr 2024
Learning from aggregated data with a maximum entropy model
Alexandre Gilotte
Ahmed Ben Yahmed
D. Rohde
FedML
OOD
139
1
0
05 Oct 2022
Auxiliary Task Reweighting for Minimum-data Learning
Neural Information Processing Systems (NeurIPS), 2020
Baifeng Shi
Judy Hoffman
Kate Saenko
Trevor Darrell
Huijuan Xu
MoMe
287
42
0
16 Oct 2020
A Theoretical Connection Between Statistical Physics and Reinforcement Learning
Jad Rahme
Ryan P. Adams
AI4CE
203
6
0
24 Jun 2019
Approximate Collapsed Gibbs Clustering with Expectation Propagation
Christopher Aicher
E. Fox
151
0
0
19 Jul 2018
MLE-induced Likelihood for Markov Random Fields
Jie Liu
Hao Zheng
112
0
0
27 Mar 2018
Nesting Probabilistic Programs
Tom Rainforth
TPM
179
25
0
16 Mar 2018
Variational Inference for Sparse and Undirected Models
John Ingraham
D. Marks
379
8
0
11 Feb 2016
Quantum Inspired Training for Boltzmann Machines
N. Wiebe
Ashish Kapoor
C. Granade
K. Svore
173
22
0
09 Jul 2015
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models
Abdolreza Mohammadi
E. Wit
CML
384
128
0
21 Jan 2015
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
Conference on Uncertainty in Artificial Intelligence (UAI), 2012
Yutian Chen
Max Welling
256
12
0
09 Aug 2014
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
International Conference on Machine Learning (ICML), 2013
Stefano Ermon
Daniel Schwalbe-Koda
Ashish Sabharwal
B. Selman
255
132
0
27 Feb 2013
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs
Journal of machine learning research (JMLR), 2012
Jun Zhu
Ning Chen
Eric Xing
BDL
471
158
0
05 Oct 2012
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
IEEE Transactions on Image Processing (TIP), 2012
Marcelo Pereyra
N. Dobigeon
H. Batatia
J. Tourneret
313
71
0
23 Jul 2012
Bayesian Random Fields: The Bethe-Laplace Approximation
Conference on Uncertainty in Artificial Intelligence (UAI), 2006
Max Welling
S. Parise
312
24
0
27 Jun 2012
MCMC for doubly-intractable distributions
Conference on Uncertainty in Artificial Intelligence (UAI), 2006
Iain Murray
Zoubin Ghahramani
D. MacKay
377
434
0
27 Jun 2012
Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models
International Conference on Machine Learning (ICML), 2012
Jean Honorio
253
9
0
18 Jun 2012
Herding Dynamic Weights for Partially Observed Random Field Models
Conference on Uncertainty in Artificial Intelligence (UAI), 2009
Max Welling
289
38
0
09 May 2012
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
R. Everitt
247
101
0
14 Mar 2012
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