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SUMMARY:Optimization Meets Optimal Transport and Gradient Flows
DTSTART:20260524T170000Z
DTEND:20260529T120000Z
DTSTAMP:20260418T174700Z
UID:indico-event-13896@indico.global
CONTACT:yifan.hu@epfl.ch\;contact@swissmaprs.ch
DESCRIPTION:Speakers: Daniel Kuhn (EPFL)\, Niao He (ETH Zurich)\, Yifan Hu
  (EPFL)\, Jia-Jie Zhu (WIAAS)\n\nThe fields of optimal transport (OT) and 
 optimization have a rich and intertwined history\, providing foundational 
 tools for mathematics\, statistics\, and computer science. These disciplin
 es overlap with a broad range of topics\, including partial differential e
 quations (PDEs)\, inverse problems\, and machine learning. The deep theore
 tical foundations of both fields are critical for addressing a wide range 
 of classical and modern computational challenges.\nThis workshop aims to b
 ring together researchers from three diverse communities—optimal transpo
 rt\, optimization\, and operations research—to discuss latest theoretica
 l advancements and foster interdisciplinary dialogue and collaboration. \
 nThe workshop will explore intricate connections of these fields in cuttin
 g-edge applications such as deep generative models\, domain adaptation\, r
 obust optimization\, and econ theory\, \n\nhttps://indico.global/event/13
 896/
IMAGE;VALUE=URI:https://indico.global/event/13896/logo-2098723454.png
LOCATION:SRS
URL:https://indico.global/event/13896/
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