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SUMMARY:Practical issues for stochastic optimisation in Imaging - Zeljko  
 Kereta (University College London)
DTSTART:20230131T133000Z
DTEND:20230131T141500Z
UID:TALK194518@talks.cam.ac.uk
DESCRIPTION:Stochastic optimisation methods have in recent years seen wide
  adoption for image reconstruction problems.\nThese include variance reduc
 tion modifications to SGD (SVRG\, SAGA)\, primal dual algorithms (SPDHG)\,
  acceleration techniques\, and many more\, but the impact of hyperparamete
 rs and their limitations significantly affect their deploymenty in practic
 al imaging problems.\nIn this talk we will discuss practicalities in deplo
 ying these reconstruction algorithms in imaging problems\, including medic
 al tomography\, and present some future directions.
LOCATION:Seminar Room 1\, Newton Institute
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