Communications of the ACM
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From Communications of the ACM
Technical Perspective: Why Don't Today's Deep Nets Overfit to Their Training Data?
"Understanding Deep Learning (Still) Requires Rethinking Generalization," Chiyuan Zhang, et al., brings a fundamental new theoretical challenge: Why don't today's...
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.
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...
From Communications of the ACM