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UID:pretalx-berlin2025-BCGJQB@cfp.pydata.org
DTSTART;TZID=CET:20250902T134000
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DESCRIPTION:This talk presents variational inference as a tool to scale pro
 babilistic models. We describe practical examples with NumPyro and PyMC to
  demonstrate this method\, going through the main concepts and diagnostics
 . Instead of going heavy into the math\, we focus on the code and practica
 l tips to make this work in real industry applications.
DTSTAMP:20260417T062501Z
LOCATION:B07-B08
SUMMARY:Scaling Probabilistic Models with Variational Inference - Dr. Juan 
 Orduz
URL:https://cfp.pydata.org/berlin2025/talk/BCGJQB/
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