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DTSTART:20251026T030000
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UID:calendar.138538.field_date.0@www.tse-fr.eu
DTSTAMP:20260606T164918Z
CREATED:20251027T171002Z
DESCRIPTION:Luca Nenna (Université Paris-Saclay)\, “An ODE characterization
  of (entropic) semi-discret optimal transport”\, MAD-Stat. Seminar\, Toulo
 use: TSE\, December 4\, 2025\, 11:00–12:15\, room Auditorium 5.\n\nIn this
  talk we introduce  the semi-discrete optimal transport (OT) problem with 
 entropic regularization. We characterize the solution using a governing\, 
 well-posed ordinary differential equation (ODE). This naturally yields an 
 algorithm to solve the problem numerically\, which turns out to be competi
 tive for problems involving the squared Euclidean distance and exhibit sup
 erior performance when applied to various powers of the Euclidean distance
 . Finally\, we note that the ODE approach yields an estimate on the rate o
 f convergence of the solution as the regularization parameter vanishes\, f
 or a generic cost function.
DTSTART;TZID=Europe/Paris:20251204T110000
DTEND;TZID=Europe/Paris:20251204T121500
LAST-MODIFIED:20251118T011001Z
LOCATION:Toulouse: TSE\, December 4\, 2025\, 11:00–12:15\, room Auditorium 
 5
SUMMARY:MAD-Stat. Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2025-ode-characterization-entro
 pic-semi-discret-optimal-transport
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