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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

Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Adaptive Variable Clustering in Gaussian Graphical Models AISTATS 2014
Ground Plane Estimation using a Hidden Markov Model CVPR 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Polya-gamma augmentations for factor models ACML 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014
Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Gibbs Max-margin Topic Models with Data Augmentation JMLR 2014
Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014
The Infinite Mixture of Infinite Gaussian Mixtures NIPS 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NIPS 2014
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Scalable Inference for Logistic-Normal Topic Models NIPS 2013
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Projecting Ising Model Parameters for Fast Mixing NIPS 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Bayesian inference for low rank spatiotemporal neural receptive fields NIPS 2013