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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Scalable Methods for Nonsmooth Optimization Problems
DTSTART:20170807T140000
DTEND:20170807T160000
DTSTAMP:20260407T014837Z
UID:f6e4771d703c6e1fd7bf3f1675963f75332d720f2f8ec94e5bf75945
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ahmet Alacaoglu\nEDIC candidacy exam\nExam president: Prof. Ma
 rtin Jaggi\nThesis advisor: Prof. Volkan Cevher\nCo-examiner: Prof. Michel
  Bierlaire\n\nAbstract\n\nBackground papers\nEfficiency of coordinate desc
 ent methods on huge-scale optimization problems\, by Y. Nesterov\, SIAM J.
  Optim.\, 2012.\nAccelerated\, parallel\, and proximal coordinate descent\
 , by O. Fercoq and P. Richtarik\, SIAM J. Optim.\, 2015.\nFederated Optimi
 zation: Distributed Machine Learning for On-Device Intelligence\, by J. Ko
 necny\, H. Brendan McMahan\, D. Ramage and P. Richtarik\, arXiv preprint\,
  2016.\n 
LOCATION:ELE 111 https://plan.epfl.ch/theme/generalite_thm_plan_public?lan
 g=en&room=ele%20111&dim_floor=1&dim_lang=en&baselayer_ref=grp_backgrounds&
 tree_groups=centres_nevralgiques%2Cacces%2Cmobilite_reduite%2Censeign
STATUS:CONFIRMED
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