latent dirichlet allocation

Modeling Musical Influence with Topic Models ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NeurIPS 2013 Stochastic Variational Inference JMLR 2013 Streaming Variational Bayes NeurIPS 2013 Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013 Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment ICML 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Kernel Topic Models AISTATS 2012 MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012 Priors for Diversity in Generative Latent Variable Models NeurIPS 2012 Symmetric Correspondence Topic Models for Multilingual Text Analysis NeurIPS 2012 Topic-Partitioned Multinetwork Embeddings NeurIPS 2012 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011 Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality AISTATS 2011 Complexity of Inference in Latent Dirichlet Allocation NeurIPS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010