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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Rigorous optimization recipes for sparse and low rank inverse prob
 lems with applications in data sciences 
DTSTART:20141013T160000
DTSTAMP:20260504T082737Z
UID:ba9d3663bf74c38ecd90f8e499f012945cfb4c3aaabe1a4ad041dced
CATEGORIES:Thesis defenses
DESCRIPTION:Anastasios KYRILLIDIS\nThesis director : Prof. V. Cevher\nComp
 uter and Communication Sciences doctoral program.\nThesis 6350
LOCATION:Auditoire MX F1 http://plan.epfl.ch/?zoom=20&recenter_y=5863946.2
 1509&recenter_x=730658.04689&layerNodes=fonds\,batiments\,labels\,informat
 ion\,parkings_publics\,arrets_metro\,transports_publics&floor=2&q=Auditoir
 e_MX%20F1
STATUS:CONFIRMED
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