topic model

Markov Mixed Membership Models ICML 2015 Modeling Skill Acquisition Over Time with Sequence and Topic Modeling AISTATS 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 Ordinal Mixed Membership Models ICML 2015 Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 The Poisson Gamma Belief Network NeurIPS 2015 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NeurIPS 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling NeurIPS 2014 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014 Latent Gaussian Models for Topic Modeling AISTATS 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Spectral Methods for Supervised Topic Models NeurIPS 2014 Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data ICML 2014 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014