Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.
Yulai CongBo ChenHongwei LiuMingyuan ZhouPublished in: CoRR (2017)
Keyphrases
- latent dirichlet allocation
- stochastic gradient
- topic models
- gibbs sampling
- generative model
- topic modeling
- latent topics
- lda model
- probabilistic model
- text mining
- stochastic gradient descent
- markov chain
- monte carlo
- markov chain monte carlo
- feature selection
- conditional random fields
- least squares
- posterior distribution
- latent variables
- data mining