Multicore Gibbs Sampling in Dense, Unstructured Graphs
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[1] Simon P. Wilson,et al. Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models , 2004, Stat. Comput..
[2] Feng Yan,et al. Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units , 2009, NIPS.
[3] Joseph Gonzalez,et al. Residual Splash for Optimally Parallelizing Belief Propagation , 2009, AISTATS.
[4] Max Welling,et al. Asynchronous Distributed Learning of Topic Models , 2008, NIPS.
[5] David Newman,et al. Bounding Sample Errors in Approximate Distributed Latent Dirichlet Allocation , 2009 .
[6] Andrew McCallum,et al. Efficient methods for topic model inference on streaming document collections , 2009, KDD.
[7] Max Welling,et al. Distributed Inference for Latent Dirichlet Allocation , 2007, NIPS.
[8] David R. O'Hallaron,et al. Distributed Parallel Inference on Large Factor Graphs , 2009, UAI.
[9] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[10] Kunle Olukotun,et al. Map-Reduce for Machine Learning on Multicore , 2006, NIPS.
[11] Max Welling,et al. Distributed Algorithms for Topic Models , 2009, J. Mach. Learn. Res..
[12] Max Welling,et al. Fast collapsed gibbs sampling for latent dirichlet allocation , 2008, KDD.
[13] Ilya Sutskever,et al. Parallelizable Sampling of Markov Random Fields , 2010, AISTATS.
[14] Andrew McCallum,et al. Rethinking LDA: Why Priors Matter , 2009, NIPS.
[15] T. Minka. Estimating a Dirichlet distribution , 2012 .
[16] Ruichao Ren,et al. Parallel Markov chain Monte Carlo simulations. , 2007, The Journal of chemical physics.
[17] Edward Y. Chang,et al. PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications , 2009, AAIM.