BEGIN:VCALENDAR VERSION:2.0 PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92// CALSCALE:GREGORIAN METHOD:PUBLISH UID:61353739-6233-4862-a264-346461613961 X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde X-WR-TIMEZONE:America/Vancouver X-WR-CALNAME:Highly Accurate Predictions on Small Data with the Tabular Fou ndation Model TabPFN - Frank Hutter\, Professor\, University of Freiburg BEGIN:VTIMEZONE TZID:America/Vancouver TZUNTIL:20261101T090000Z BEGIN:STANDARD TZNAME:PST DTSTART:20241103T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RDATE:20251102T020000 END:STANDARD BEGIN:DAYLIGHT TZNAME:PDT DTSTART:20240310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RDATE:20250309T020000 RDATE:20260308T020000 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:1114af8a-a49d-4010-a915-f740f6c2df14 DTSTAMP:20260306T065724Z CLASS:PUBLIC CREATED:20241216T155632Z DESCRIPTION:Abstract: Tabular data\, spreadsheets organized in rows and col umns\, is ubiquitous in many fields\, prominently including medicine. The fundamental prediction task of filling in a label column based on the rest of the columns (the so-called features)\, is essential for predictive dia gnostics\, biomedical risk models\, and drug discovery. Yet\, in contrast to the deep learning revolution for text and images\, the traditional mach ine learning methods used for such tabular data have made almost no progre ss for a decade. In this talk\, I discuss TabPFN\, the first foundation mo del for tabular data to… DTSTART;TZID=America/Vancouver:20241216T151500 DTEND;TZID=America/Vancouver:20241216T161500 LAST-MODIFIED:20241216T160023Z LOCATION:UBC Vancouver Campus\, ICCS X836 SUMMARY:Highly Accurate Predictions on Small Data with the Tabular Foundati on Model TabPFN - Frank Hutter\, Professor\, University of Freiburg TRANSP:OPAQUE URL:https://caida.ubc.ca/index.php/event/highly-accurate-predictions-small- data-tabular-foundation-model-tabpfn-frank-hutter-professor END:VEVENT END:VCALENDAR