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X-WR-CALNAME:Halting Time is Predictable for Large Models: A Universality P
 roperty and Average-case Analysis  - Courtney Paquette\, Research Scientis
 t\, Google Research
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TZUNTIL:20220313T100000Z
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DTSTART:20191103T020000
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RDATE:20201101T020000
RDATE:20211107T020000
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DTSTAMP:20260217T203848Z
CLASS:PUBLIC
CREATED:20200529T165327Z
DESCRIPTION:Please register for this event here. Abstract: Average-case ana
 lysis computes the complexity of an algorithm averaged over all possible i
 nputs. Compared to worst-case analysis\, it is more representative of the 
 typical behavior of an algorithm\, but remains largely unexplored in optim
 ization. One difficulty is that the analysis can depend on the probability
  distribution of the inputs to the model. However\, we show that almost al
 l instances of high-dimensional data are indistinguishable to first-order 
 algorithms. Particularly for a class of large-scale problems\, which inclu
 des random least…
DTSTART;TZID=America/Vancouver:20200612T153000
DTEND;TZID=America/Vancouver:20200612T163000
LAST-MODIFIED:20210610T230558Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Halting Time is Predictable for Large Models: A Universality Proper
 ty and Average-case Analysis - Courtney Paquette\, Research Scientist\, Go
 ogle Research
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/halting-time-predictable-large-models-univer
 sality-property-and-average-case-analysis
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