BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.pydata.org//berlin2025//talk//BCGJQB
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
DTSTART:20240902T000000
TZNAME:CEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241027T030000
RDATE:20251026T030000
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250330T030000
RDATE:20260329T030000
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:Scaling Probabilistic Models with Variational Inference - Dr. Juan
  Orduz
DTSTART;TZID=Europe/Berlin:20250902T134000
DTEND;TZID=Europe/Berlin:20250902T141000
DTSTAMP:20260914T181405Z
UID:pretalx-berlin2025-BCGJQB@cfp.pydata.org
DESCRIPTION:This talk presents variational inference as a tool to scale pr
 obabilistic models. We describe practical examples with NumPyro and PyMC t
 o demonstrate this method\, going through the main concepts and diagnostic
 s. Instead of going heavy into the math\, we focus on the code and practic
 al tips to make this work in real industry applications.
LOCATION:B07-B08
URL:https://cfp.pydata.org/berlin2025/talk/BCGJQB/
END:VEVENT
END:VCALENDAR