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UID:20260509T153854EDT-3227ZFnB9T@132.216.98.100
DTSTAMP:20260509T193854Z
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:https://www.mcgill.ca/mathstat/channels/event/jiaming-xia-university-pe
 nnsylvania-338299
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