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SUMMARY:Sanjeev Arora (Computer Science Department\, Princeton University)
DTSTART:20210106T180000Z
DTEND:20210106T190000Z
DTSTAMP:20260423T003258Z
UID:MPML/32
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/32/">Th
 e quest for mathematical understanding of deep learning</a>\nby Sanjeev Ar
 ora (Computer Science Department\, Princeton University) as part of Mathem
 atics\, Physics and Machine Learning (IST\, Lisbon)\n\n\nAbstract\nDeep le
 arning has transformed Machine Learning and Artificial Intelligence in the
  past decade. It raises fundamental questions for mathematics and theory o
 f computer science\, since it relies upon solving large-scale nonconvex pr
 oblems via gradient descent and its variants. This talk will be an introdu
 ction to mathematical questions raised by deep learning\, and some partial
  understanding obtained in recent years with respect to optimization\, gen
 eralization\, self-supervised learning\, privacy etc.\n
LOCATION:https://researchseminars.org/talk/MPML/32/
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