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UID:20260605T071415EDT-4721RuzclB@132.216.98.100
DTSTAMP:20260605T111415Z
DESCRIPTION:Title: Algorithmic Spin Glass Theory.\n\nAbstract: Mean field s
 pin glasses are a family of random functions in high dimension. Originally
  developed to explore properties of disordered magnets\, these models have
  found applications to a broad range of problems in computer science and s
 tatistics. Parisi’s theory of replica symmetry breaking predicts the globa
 l maximum value of these functions. In many setting\, this has been rigoro
 usly confirmed by Talagrand and others. What about efficient algorithms? N
 amely\, given a random high-dimensional optimization problem\, can one eff
 iciently compute an approximately optimal solution? What about sampling a 
 uniformly random solution? I will review recent progress on this class of 
 problems.\n\nIn Person\n\nLocation: Burnside Hall\, Room 719A\, 805 Rue Sh
 erbrooke O\, Montréal\, QC H3A 2K6\n\nZoom Link: https://umontreal.zoom.us
 /j/87805116449?pwd=Zqn2bGupljZwDftmU9iiAi7kpHMXaF.1\n
DTSTART:20241107T163000Z
DTEND:20241107T173000Z
LOCATION:Room 719A\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Mark Sellke (Harvard University)
URL:https://www.mcgill.ca/mathstat/channels/event/mark-sellke-harvard-unive
 rsity-360929
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