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DTSTART:20190310T070000
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DTSTART:20191103T060000
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UID:69d3104965608
DTSTART;TZID=America/Toronto:20191205T093000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20191205T093000
URL:https://uwaterloo.ca/combinatorics-and-optimization/events/compmath-co-
 joint-seminar-andreas-griewank
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 55
 01 Waterloo ON N2L 3G1 Canada
SUMMARY:CompMath &amp; CO Joint Seminar - Andreas Griewank
CLASS:PUBLIC
DESCRIPTION:TITLE: How can we optimize nonsmooth objectives globally?\n\nS
 peaker:\n Andreas Griewank\n\nAffiliation:\n Humboldt University\, Germany
 \n\nRoom:\n MC 5501\n\nABSTRACT:\n\nIn machine learning objective function
 s that are only piecewise smooth\nand should be globally minimized abound.
  The standard method of\ndealing with them is to apply a stochastic gradie
 nt method\ndisregarding the rare points of nonsmoothness and hoping for th
 e best\nas far as global optimality of the computed solution is concerned.
DTSTAMP:20260406T014545Z
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