BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20210909T095215Z
DTSTART:20211006T153000Z
DTEND:20211006T163000Z
SUMMARY:Original Thinking Webinar
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}vfe-ktboa74
 w-irgqno
DESCRIPTION:We all face and make decisions on an ongoing basis\, whether 
 at work or in our private lives.  The vast majority of these decisions i
 nvolve trade-offs between multiple criteria\, be it healthiness versus t
 aste in our choice of breakfast cereal\, cost versus energy efficiency i
 n our choice of a new household utility\, or risk versus expected return
  in our selection of a financial portfolio. Typically\, there is conside
 rable conflict between these criteria and\, in the presence of such conf
 lict\, a single optimal solution may not exist. Taking a sound decision 
 will then require the exploration of a set of alternative trade-offs\, a
 nd the incorporation of additional preference information.\n\nThe same t
 ypes of trade-offs exist in machine learning applications\, where our mo
 dels frequently have to strike a compromise between a variety of conflic
 ting criteria. In this presentation\, I will discuss the various origins
  of these criteria in a machine learning context. Using a number of exam
 ples from my own research\, I will then highlight how multicriterion opt
 imisation can support us in exploring a range of alternative trade-off s
 olutions for machine learning problems\, supporting the analyst in ident
 ifying their preferred model.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
END:VEVENT
END:VCALENDAR