BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:An ODE characterization of (entropic) semi-discret optimal transpo
 rt
DTSTART:20251204T100000Z
DTEND:20251204T111500Z
DTSTAMP:20260614T065900Z
UID:indico-event-15382@indico.math.cnrs.fr
DESCRIPTION:Speakers: Luca Nenna (Université Paris Saclay)\n\nIn this tal
 k we introduce  the semi-discrete optimal transport (OT) problem with ent
 ropic regularization. We characterize the solution using a governing\, wel
 l-posed ordinary differential equation (ODE). This naturally yields an alg
 orithm to solve the problem numerically\, which turns out to be competitiv
 e for problems involving the squared Euclidean distance and exhibit superi
 or performance when applied to various powers of the Euclidean distance. F
 inally\, we note that the ODE approach yields an estimate on the rate of c
 onvergence of the solution as the regularization parameter vanishes\, for 
 a generic cost function.\n\nhttps://indico.math.cnrs.fr/event/15382/
LOCATION: Auditorium 5  (Toulouse School of Economics)
URL:https://indico.math.cnrs.fr/event/15382/
END:VEVENT
END:VCALENDAR