latent dirichlet allocation

Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database CVPR 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 On some provably correct cases of variational inference for topic models NeurIPS 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 The Security of Latent Dirichlet Allocation AISTATS 2015 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 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 Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs NeurIPS 2014 Distributed Stochastic Gradient MCMC ICML 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Dual online inference for latent Dirichlet allocation ACML 2014 On Modelling Non-linear Topical Dependencies ICML 2014 Smoothed Gradients for Stochastic Variational Inference 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 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013 Language-Motivated Approaches to Action Recognition JMLR 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013