Dae Il Kim

Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process

We introduce a new variational inference objective for hierarchical Dirichlet process admixture models. Our approach provides novel and scalable algorithms for learning nonparametric topic models of text documents and Gaussian admixture models of image patches. Improving on the point estimates of to…