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Communications of the ACM

Research Archive


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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

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.