文章基本信息

标题：The Quest for Mathematical Understanding of Deep Learning (Invited Talk)
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作者：Sanjeev Arora
期刊名称：LIPIcs : Leibniz International Proceedings in Informatics
电子版ISSN：1868-8969
出版年度：2020
卷号：182
页码：1-1
DOI：10.4230/LIPIcs.FSTTCS.2020.1
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：Deep learning has transformed Machine Learning and Artificial Intelligence in the past decade. It raises fundamental questions for mathematics and theory of computer science, since it relies upon solving large-scale nonconvex problems via gradient descent and its variants. This talk will be an introduction to mathematical questions raised by deep learning, and some partial understanding obtained in recent years.
关键词：machine learning; artificial intelligence; deep learning; gradient descent; optimization