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X-WR-CALNAME:AIM-SI Tutorial Series in AI: A Tutorial on AI-Guided Experime
 ntal Design and Bayesian Optimization - Geoff Pleiss
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TZUNTIL:20270314T100000Z
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DESCRIPTION:Join us for the next installment of the Faculty of Science AI-S
 I Summer Tutorial Series in AI: ' A Tutorial on AI-Guided Experimental Des
 ign and Bayesian Optimization' by Dr. Geoff Pleiss from the UBC Department
  of Statistics. These events are open to all Science faculty\, postdoctora
 l fellows\, and graduate students wishing to learn more about artificial i
 ntelligence and its potential applicability to their work. Abstract This t
 utorial will cover how AI-driven methods for experimental design can accel
 erate scientific discovery. We will introduce techniques from Bayesian opt
 imization\, a…
DTSTART;TZID=America/Vancouver:20250723T113000
DTEND;TZID=America/Vancouver:20250723T123000
LAST-MODIFIED:20250805T160014Z
LOCATION:Michael Smith Laboratories\, Room 102\, 2185 East Mall
SUMMARY:AIM-SI Tutorial Series in AI: A Tutorial on AI-Guided Experimental 
 Design and Bayesian Optimization - Geoff Pleiss
TRANSP:OPAQUE
URL:https://www.dfp.ubc.ca/index.php/event/aim-si-tutorial-series-ai-tutori
 al-ai-guided-experimental-design-and-bayesian-optimization
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