Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

Yunwen Lei, Ting Hu, Guiying Li, Ke Tang

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
Original languageEnglish
Article number8930994
Pages (from-to)4394-4400
Number of pages7
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume31
Issue number10
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • Learning theory
  • Polyak-Łojasiewicz condition
  • nonconvex optimization
  • stochastic gradient descent (SGD)

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

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