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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. Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu
From Communications of the ACM | April 2018

From Communications of the ACM

Computational Complexity and Information Asymmetry in Financial Products

Securitization of cash flows using financial derivatives transformed the financial industry over the last three decades. Derivatives... Sanjeev Arora, Boaz Barak, Markus Brunnermeier, Rong Ge
From Communications of the ACM | May 2011