169 citations · 728 across the 45 of their papers we have counts for
5 papers · 1 filter
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
Yichao Lu, Dean P. Foster
In Natural Language Processing (NLP) tasks, data often has the following two properties: First, data can be chopped into multi-views which has been successfully used for dimension…
Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon, Jordan Rodu, Dean Foster +1
Unlabeled data is often used to learn representations which can be used to supplement baseline features in a supervised learner. For example, for text applications where the words…
A Spectral Algorithm for Latent Dirichlet Allocation
Animashree Anandkumar, Dean P. Foster, Daniel Hsu +2
The problem of topic modeling can be seen as a generalization of the clustering problem, in that it posits that observations are generated due to multiple latent factors (e.g., the…
Spectral dimensionality reduction for HMMs
Dean P. Foster, Jordan Rodu, Lyle H. Ungar
Hidden Markov Models (HMMs) can be accurately approximated using co-occurrence frequencies of pairs and triples of observations by using a fast spectral method in contrast to the u…
A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions
Dean Foster, Shane T. Jensen
We develop a new sampling strategy that uses the hit-and-run algorithm within level sets of the target density. Our method can be applied to any quasi-concave density, which covers…