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NODAI, Numerical optimization for data analysis and imaging I
NODAI Numerical optimization for data analysis and imaging I Invited Session Time Slot: Wednesday Morning Room: 003 Chair: Simone Rebegoldi A new converging approach for learnt optimization with applications to imaging Time: 9:00 Elena Morotti (Università di Bologna), Davide Evangelista,
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OML Optimization for machine learning II Invited Session Time Slot: Friday Morning Room: 003 Chair: Vassilis Apidopoulos Faster Randomized Block Sparse Kaczmarz by Averaging Time: 9:00 Lionel Tondji (TU Braunschweig), Dirk Lorenz The standard randomized sparse Kaczmarz (RSK) method is