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X-WR-CALNAME:Beyond Linearization in Neural Networks - Jason Lee\, Assistan
 t Professor\, Princeton University
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TZID:America/Vancouver
TZUNTIL:20220313T100000Z
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TZNAME:PST
DTSTART:20191103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20201101T020000
RDATE:20211107T020000
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DTSTAMP:20260501T043409Z
CLASS:PUBLIC
CREATED:20200604T180703Z
DESCRIPTION:Please register for this event here Abstract: Deep Learning has
  had phenomenal empirical successes in many domains including computer vis
 ion\, natural language processing\, and speech recognition. To consolidate
  and boost the empirical success\, we need to develop a more systematic an
 d deeper understanding of the elusive principles of deep learning. In this
  talk\, I will provide analysis of several elements of deep learning inclu
 ding non-convex optimization\, overparametrization\, and generalization er
 ror. Recent theoretical work has established connections between neural ne
 tworks and linearized…
DTSTART;TZID=America/Vancouver:20200622T153000
DTEND;TZID=America/Vancouver:20200622T163000
LAST-MODIFIED:20210610T230522Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Beyond Linearization in Neural Networks - Jason Lee\, Assistant Pro
 fessor\, Princeton University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/beyond-linearization-neural-networks-jason-l
 ee-assistant-professor-princeton-university
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