topic modeling

Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016 Latent Topic Embedding COLING 2016 Named Entity Disambiguation for little known referents: a topic-based approach COLING 2016 Non-negative Matrix Factorization under Heavy Noise ICML 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NeurIPS 2016 Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis COLING 2016 A Topic Modeling Approach to Ranking AISTATS 2015 Deep Poisson Factor Modeling NeurIPS 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Fast and Guaranteed Tensor Decomposition via Sketching NeurIPS 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Online Tensor Methods for Learning Latent Variable Models JMLR 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015 The Poisson Gamma Belief Network NeurIPS 2015 Watch-n-Patch: Unsupervised Understanding of Actions and Relations CVPR 2015 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 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Content-based recommendations with Poisson factorization NeurIPS 2014 Distributed Stochastic Gradient MCMC ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014