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Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning
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Event Content - (O)

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A (10) | B (1) | C (4) | D (5) | E (3) | F (2) | H (2) | I (1) | M (3) | N (5) | O (3) | P (1) | S (5) | T (1) | U (1) | V (1)
Jun 11, 16:00 - 17:00, On the Natural Gradient Descent (KAUST), Prof. Levon Nurbekyan
gradient methods, Public Colloquium
Sep 13, 15:30 - 17:00, On the resolution of a theoretical question related to the nature of local training in federated learning (B1 L3 R3119), Peter Richtarik, Professor, Computer Science
algorithms, communications, machine learning, mathematical optimization, Public Colloquium
May 7, 16:00 - 17:00, Optimization for Deep Learning (B5 L5 R5209), Dr. Konstantin Mischenko, Samsung AI Center, Cambridge, UK
Deep learning, mathematical optimization, Public Colloquium

Scientific Computing and Machine Learning (SCML)

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