topic modeling

Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models NeurIPS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Truly Nonparametric Online Variational Inference for Hierarchical Dirichlet Processes NeurIPS 2012 Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality AISTATS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents NeurIPS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Online Learning for Latent Dirichlet Allocation NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora NeurIPS 2009 Filtering Abstract Senses From Image Search Results NeurIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Spatial Normalized Gamma Processes NeurIPS 2009 Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation NeurIPS 2008