Topic Modeling

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Designed Measurements for Vector Count Data NeurIPS 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 A Neural Autoregressive Topic Model NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic 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 Complexity of Inference in Latent Dirichlet Allocation 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 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011