Topic Modeling

Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Distributed Algorithms for Topic Models JMLR 2009 Modeling Social Annotation Data with Content Relevance using a Topic Model NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Rethinking LDA: Why Priors Matter NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Asynchronous Distributed Learning of Topic Models NeurIPS 2008 Syntactic Topic Models NeurIPS 2008 Collapsed Variational Inference for HDP NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NeurIPS 2007 Sparse Overcomplete Latent Variable Decomposition of Counts Data NeurIPS 2007 Supervised Topic Models NeurIPS 2007 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NeurIPS 2006