BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20251121T151947EST-6263UcuG60@132.216.98.100 DTSTAMP:20251121T201947Z DESCRIPTION:Title: Hamilton-Jacobi equations for statistical inference prob lems\n\nAbstract: We present the Hamilton--Jacobi equation approach to a c lass of high dimensional statistical inference problems. We start by intro ducing the model of matrix tensor products\, the free energy associated wi th them\, and motivation for studying their high-dimensional limit. Then\, we sketch the basic setup of the Hamilton--Jacobi equation approach. Last ly\, I discuss the application of this approach to models with multiple hi dden layers. This is based on joint work with Hong-Bin Chen\, and Jean-Chr istophe Mourrat.\n\nRemote) https://mcgill.zoom.us/j/86314328515?pwd=WnBuc i9qNVNST3l1OTZUaVNTRlQ0UT09\n\n \n DTSTART:20220310T163000Z DTEND:20220310T173000Z SUMMARY:Jiaming Xia University of Pennsylvania) URL:/mathstat/channels/event/jiaming-xia-university-pe nnsylvania-338298 END:VEVENT END:VCALENDAR