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UID:aa239ae9953bf303968ae4baa4292b1d
CATEGORIES:Mathematical Physics Seminar
CREATED:20250925T222055
SUMMARY:Webinar: Andrea Montanari -  Overparameterized Systems: From Smale 17th problem to neutral networks
LOCATION:Zoom
DESCRIPTION:<p style="text-align: center;"><strong>Andrea Montanari&nbsp; – Stanford Un
 iversity </strong></p><p style="text-align: center;"><strong>&nbsp;</strong
 ></p><p style="text-align: center;"><strong>Wednesday,&nbsp;October 8th,&nb
 sp;2025</strong></p><p style="text-align: center;"><strong>Zoom opens: 10:3
 0AM DST</strong></p><p style="text-align: center;"><strong>Seminar begins: 
 10:45AM DST</strong></p><p style="text-align: center;"><strong>&nbsp;<stron
 g>Overparameterized Systems: From Smale 17th problem to neutral networks</s
 trong></strong></p><p>Spin glass theory studies the structure of sublevel s
 ets and minima (or near-minima) of certain classes of random functions in h
 igh dimension. &nbsp;Near-minima of random functions also play an important
  role in</p><p>high-dimensional statistics and machine learning, where mini
 mizing an empirical risk function is the method of choice for learning a st
 atistical model &nbsp;from noisy data.</p><p>I will review some surprising 
 empirical phenomena in modern machine learning, focusing in particular on o
 verfitting and generalization. I will explain how tools from spin glasses a
 nd random matrix theory can be used to characterize these phenomena in simp
 le models, and clarify them.</p><p>[Based on joint works with Kiana Asgari,
  Basil Saeed, Eliran Subag, Pierfrancesco Urbani]</p>
CONTACT:Andrea Montanari
DTSTAMP:20260825T171207
DTSTART;TZID=America/New_York:20251008T104500
DTEND;TZID=America/New_York:20251008T120000
SEQUENCE:0
TRANSP:OPAQUE
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