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X-WR-CALNAME;VALUE=TEXT:TSE
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DTSTART:20231029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20241027T030000
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UID:calendar.134844.field_date.0@www.tse-fr.eu
DTSTAMP:20260509T202243Z
CREATED:20240517T061001Z
DESCRIPTION:Laurent Miclo (Toulouse School of Economics)\, “On fraudulent s
 tochastic algorithms”\, MAD-Stat. Seminar\, Toulouse: TSE\, May 23\, 2024\
 , 11:00–12:15\, room Auditorium 5.\n\nWe introduce and analyse the almost 
 sure convergence of a stochastic algorithm for the global minimisation of 
 smooth functions.\nThis diffusion process is called fraudulent because it 
 requires the knowledge of minimal value of the function. Nevertheless\, it
 s investigation is not without interest\, since in particular it appears a
 s the limit behaviour of non-fraudulent and time-inhomogeneous swarm mean-
 field algorithms for global optimisation or in stochastic gradient descent
  algorithms in over-parametrised deep learning applications. The talk is b
 ased on collaborations with Benaïm\, Bolte and Villeneuve.
DTSTART;TZID=Europe/Paris:20240523T120000
DTEND;TZID=Europe/Paris:20240523T131500
LAST-MODIFIED:20240518T001001Z
LOCATION:Toulouse: TSE\, May 23\, 2024\, 11:00–12:15\, room Auditorium 5
SUMMARY:MAD-Stat. Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2024-fraudulent-stochastic-algo
 rithms
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