Topic Modeling

Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Contrastive Learning Using Spectral Methods NeurIPS 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Recognizing Activities via Bag of Words for Attribute Dynamics CVPR 2013 Relevance Topic Model for Unstructured Social Group Activity Recognition NeurIPS 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NeurIPS 2011 Improving Topic Coherence with Regularized Topic Models NeurIPS 2011