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gibbs sampling

201 papers

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bayesian inference (1907) markov chain monte carlo (725) bayesian nonparametrics (270) variational inference (2069) topic model (290) dirichlet process (132) gibbs sampler (37) graphical model (864) topic modeling (461) nonparametric bayesian (124)

Papers

Multiscale Community Blockmodel for Network Exploration AISTATS 2011
Distance Dependent Chinese Restaurant Processes JMLR 2011
Collective Graphical Models NIPS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011
Construction of Dependent Dirichlet Processes based on Poisson Processes NIPS 2010
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NIPS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
A Study of Approximate Inference in Probabilistic Relational Models ACML 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Supervised Dimension Reduction Using Bayesian Mixture Modeling AISTATS 2010
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Distributed Algorithms for Topic Models JMLR 2009
Spatial Normalized Gamma Processes NIPS 2009
Linearly constrained Bayesian matrix factorization for blind source separation NIPS 2009
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NIPS 2008
Asynchronous Distributed Learning of Topic Models NIPS 2008
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Collapsed Variational Inference for HDP NIPS 2007