25 citations · 25 across the 1 of their papers we have counts for
2 papers
stat.ML2015★ 25 cited
Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA
Yannis Papanikolaou, James R. Foulds, Timothy N. Rubin +1
We introduce a novel approach for estimating Latent Dirichlet Allocation (LDA) parameters from collapsed Gibbs samples (CGS), by leveraging the full conditional distributions over…
stat.ML2011
Statistical Topic Models for Multi-Label Document Classification
Timothy N. Rubin, America Chambers, Padhraic Smyth +1
Machine learning approaches to multi-label document classification have to date largely relied on discriminative modeling techniques such as support vector machines. A drawback of…