Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.
Yulai CongBo ChenHongwei LiuMingyuan ZhouPublished in: ICML (2017)
Keyphrases
- latent dirichlet allocation
- stochastic gradient
- topic models
- generative model
- gibbs sampling
- topic modeling
- latent topics
- lda model
- text mining
- markov chain
- markov chain monte carlo
- stochastic gradient descent
- step size
- machine learning
- monte carlo
- bayesian framework
- conditional random fields
- dimensionality reduction
- co occurrence
- probabilistic model
- latent variables
- em algorithm
- posterior distribution
- principal component analysis
- semi supervised
- knn
- pairwise
- training data