Simple, fast, and flexible framework for matrix completion with infinite width neural networks

Simple, fast, and flexible framework for matrix completion with infinite width neural networks

<jats:title>Significance</jats:title> <jats:p>Matrix completion is a fundamental problem in machine learning that arises in various applications. We envision that our infinite width neural network framework for matrix completion will be easily deployable and produce stro...

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Bibliographic Details
Main Authors: Radhakrishnan, Adityanarayanan, Stefanakis, George, Belkin, Mikhail, Uhler, Caroline
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:English
Published: Proceedings of the National Academy of Sciences 2022
Online Access:https://hdl.handle.net/1721.1/143919

Internet

https://hdl.handle.net/1721.1/143919

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