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SUMMARY:Antonin Chambolle (CMAP / École Polytechnique Palaiseau)
DTSTART:20210301T143000Z
DTEND:20210301T153000Z
DTSTAMP:20260423T021001Z
UID:OWOS/35
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWOS/35/">De
 rivatives of Solutions of Saddle-Point Problems</a>\nby Antonin Chambolle 
 (CMAP / École Polytechnique Palaiseau) as part of One World Optimization 
 seminar\n\n\nAbstract\nIn a recent paper\, we have been interested in opti
 mizing the quality of the solutions of convex optimization problems among 
 a class of consistent approximations of the total variation. Such a proble
 m requires an efficient way to derivate a loss function with respect to th
 e solution of a convex problem\, computed by an iterative algorithm for wh
 ich classical back-propagation is not always possible\, due to memory limi
 tation. We will describe in this talk a simple way to compute the adjoint 
 states which allows to estimate such gradients\, and discuss issues relati
 ve to the smoothness of the objective.\n\nJoint work with T. Pock (TU Graz
 ).\n\nThe address and password of the zoom room of the seminar are sent by
  e-mail on the mailinglist of the seminar one day before each talk\n
LOCATION:https://researchseminars.org/talk/OWOS/35/
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