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PRODID:-//pretalx//cfp.scipy.org//2023//speaker//U8RYWG
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TZID:America/Chicago
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DTSTART:20220712T000000
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DTSTART:20221106T020000
RDATE:20231105T020000
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DTSTART:20230312T030000
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BEGIN:VEVENT
SUMMARY:Emukit: Python toolkit for uncertainty quantification - Andrei Pal
 eyes
DTSTART;TZID=America/Chicago:20230712T143500
DTEND;TZID=America/Chicago:20230712T150500
DTSTAMP:20261007T034247Z
UID:pretalx-2023-RJPMGC@cfp.scipy.org
DESCRIPTION:Emukit is an open-source package for uncertainty quantificatio
 n in Python. It provides various Bayesian methods\, such as optimization\,
  experimental design and quadrature\, in a flexible unified way that lever
 ages their commonalities. In the talk we will explain how and why Emukit w
 as built\, what are its strengths and weaknesses\, how it is used today an
 d in what scenarios one might find it useful.
LOCATION:Zlotnik Ballroom
URL:https://cfp.scipy.org/2023/talk/RJPMGC/
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