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DTSTAMP:20260509T165118
STATUS:CONFIRMED
UID:2025-06-11-stat-colloquium@mcml.ai
DTSTART:20250611T161500
DTEND:20250611T174500
SUMMARY:Colloquium--Veridical Data Science and PCS Uncertainty Quantification--
DESCRIPTION:*** Colloquium\n*** Veridical Data Science and PCS Uncertainty Quantification\n\n*** Speaker(s):\nBin Yu\, Berkeley\n\n11.06.25, 4:15-5:45 pm: Bin Yu, UC Berkeley on how PCS improves AI reliability by tackling hidden uncertainty in data science decisions.\n\nMore info: https://www.statistik.uni-muenchen.de/institut/institutskolloquium/index.html
LOCATION:LMU Munich\, Department of Statistics and via zoom
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