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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Lectures & Presentations
DESCRIPTION:Computational Mathematics Seminar Series sponsored by the LSU C
 enter for Computation & Technology\n\n \n\nAbstract: Optimization models th
 at incorporate uncertainty and hierarchical structures have attracted much 
 attention in data science. Recent advances in polynomial optimization offer
  promising methods to certify global optimality for these complex models. I
 n this talk\, I will use two-stage stochastic optimization as a major model
  to demonstrate how polynomial optimization can be efficiently applied to d
 ata science optimization under uncertainty.
DTEND:20241119T223000Z
DTSTAMP:20260416T140804Z
DTSTART:20241119T213000Z
LOCATION:Louisiana Digital Media Center\, 1034
SEQUENCE:0
SUMMARY:Lecture: "Polynomial Optimization in Data Science Under Uncertainty
 "
UID:tag:localist.com\,2008:EventInstance_47790208990166
URL:https://calendar.lsu.edu/event/lecture-two-stage-stochastic-programs-wi
 th-polynomial-loss-function
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