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X-WR-CALNAME:LLM Processes: Numerical Predictive Distributions Conditioned 
 on Natural Language - James Requeima\, Postdoctoral Fellow\, University of
  Toronto
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TZID:America/Vancouver
TZUNTIL:20261101T090000Z
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DTSTART:20241103T020000
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RDATE:20251102T020000
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RDATE:20260308T020000
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CLASS:PUBLIC
CREATED:20241210T235242Z
DESCRIPTION:Abstract: Machine learning practitioners often face significant
  challenges in formally integrating their prior knowledge and beliefs into
  predictive models\, limiting the potential for nuanced and context-aware 
 analyses. Moreover\, the expertise needed to integrate this prior knowledg
 e into probabilistic modeling typically limits the application of these mo
 dels to specialists. In this talk\, we present a regression model that can
  process numerical data and make probabilistic predictions at arbitrary lo
 cations\, guided by natural language text which describes a user's prior k
 nowledge. Large…
DTSTART;TZID=America/Vancouver:20241216T104500
DTEND;TZID=America/Vancouver:20241216T114500
LAST-MODIFIED:20241211T000005Z
LOCATION:UBC Vancouver Campus\, ICCS X836
SUMMARY:LLM Processes: Numerical Predictive Distributions Conditioned on Na
 tural Language - James Requeima\, Postdoctoral Fellow\, University of Toro
 nto
TRANSP:OPAQUE
URL:https://caida.ubc.ca/index.php/event/llm-processes-numerical-predictive
 -distributions-conditioned-natural-language-james-requeima
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