gibbs sampling

Fast Collocation-Based Bayesian HMM Word Alignment COLING 2016 Fast Inference for Interactive Models of Text COLING 2016 Herded Gibbs Sampling JMLR 2016 Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends ICML 2016 Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information AISTATS 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles JMLR 2016 Regime Aware Learning PGM 2016 Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling JMLR 2016 Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much NeurIPS 2016 Select-and-Sample for Spike-and-Slab Sparse Coding NeurIPS 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction AISTATS 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Latent feature regression for multivariate count data AISTATS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models ICML 2015 Perturbed Message Passing for Constraint Satisfaction Problems JMLR 2015