BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//talks.cam.ac.uk//v3//EN
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:19700329T010000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:19701025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:Quantifying and reducing uncertainties on sets und
 er Gaussian Process priors - David Ginsbourger (No
 ne / Other\; Universität Bern)
DTSTART;TZID=Europe/London:20180411T110000
DTEND;TZID=Europe/London:20180411T113000
UID:TALK103642AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/103642
DESCRIPTION:Gaussian Process models have been used in a number
  of problems where an objective function f needs t
 o be studied based on a drastically limited number
  of evaluations.  Global optimization algorithms b
 ased on Gaussian Process models have been investig
 ated for several decades\, and have become quite p
 opular notably in design of computer experiments. 
 Also\, further classes of problems involving the e
 stimation of sets implicitly defined by f\, e.g. s
 ets of excursion above a given threshold\, have in
 spired multiple research developments.  In this ta
 lk\, we will give an overview of recent results an
 d challenges pertaining to the estimation of sets 
 under Gaussian Process priors\, with a particular 
 interest for to the quantification and the sequent
 ial reduction of associated uncertainties.  Based 
 on a series of joint works primarily with Dario Az
 zimonti\, Fran&ccedil\;ois Bachoc\, Julien Bect\, 
 Micka&euml\;l Binois\, Cl&eacute\;ment Chevalier\,
  Ilya Molchanov\, Victor Picheny\, Yann Richet and
  Emmanuel Vazquez.
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
END:VEVENT
END:VCALENDAR