topic model

Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 On Estimation and Selection for Topic Models AISTATS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Supervised Dimension Reduction with Topic Models ACML 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 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NeurIPS 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 Proximal Methods for Hierarchical Sparse Coding JMLR 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents AISTATS 2011 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Learning concept graphs from text with stick-breaking priors NeurIPS 2010 Probabilistic Deterministic Infinite Automata NeurIPS 2010 Synergies in learning words and their referents NeurIPS 2010 Word Features for Latent Dirichlet Allocation NeurIPS 2010