License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2020.1
URN: urn:nbn:de:0030-drops-132427
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/13242/
Go to the corresponding LIPIcs Volume Portal

Arora, Sanjeev

The Quest for Mathematical Understanding of Deep Learning (Invited Talk)

pdf-format:
LIPIcs-FSTTCS-2020-1.pdf (0.2 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{arora:LIPIcs:2020:13242,
  author =	{Sanjeev Arora},
  title =	{{The Quest for Mathematical Understanding of Deep Learning (Invited Talk)}},
  booktitle =	{40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)},
  pages =	{1:1--1:1},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-174-0},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{182},
  editor =	{Nitin Saxena and Sunil Simon},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13242},
  URN =		{urn:nbn:de:0030-drops-132427},
  doi =		{10.4230/LIPIcs.FSTTCS.2020.1},
  annote =	{Keywords: machine learning, artificial intelligence, deep learning, gradient descent, optimization}
}

Keywords: machine learning, artificial intelligence, deep learning, gradient descent, optimization
Collection: 40th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2020)
Issue Date: 2020
Date of publication: 04.12.2020

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI