Communications of the ACM
Research Archive
The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
April 2018
From Communications of the ACM
Technical Perspective: Expressive Probabilistic Models and Scalable Method of Moments
The authors of "Learning Topic Models—Provably and Efficiently," developed a new method for fitting topic models and at large scale.
From Communications of the ACM
Learning Topic Models - Provably and Efficiently
This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.