topic modeling

Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014 Latent Gaussian Models for Topic Modeling AISTATS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Topic Modeling of Multimodal Data: An Autoregressive Approach CVPR 2014 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid CVPR 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Dependent Normalized Random Measures ICML 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Hallucinated Humans as the Hidden Context for Labeling 3D Scenes CVPR 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Streaming Variational Bayes NeurIPS 2013 Topic Discovery through Data Dependent and Random Projections ICML 2013 Using multiple samples to learn mixture models NeurIPS 2013 A Neural Autoregressive Topic Model NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Beta-Negative Binomial Process and Poisson Factor Analysis AISTATS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Joint Modeling of a Matrix with Associated Text via Latent Binary Features NeurIPS 2012