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Mathematical Foundations of Optimisation in Data Science
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Proximal First-order Methods for Non-convex Optimisation
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Feasibility Models: From Nanoscale Photonic Imaging to Randomized Algorithms for Machine Learning
Newton Gateway to Mathematics
Events
Mathematical Foundations of Optimisation in Data Science
Programme
Proximal First-order Methods for Non-convex Optimisation
Presented by:
Russell Luke
(Universität Göttingen)
When:
Tuesday, November 24, 2020 -
13:00
to
13:30
Venue:
Centre for Mathematical Sciences
Presentation material:
Cambridge2020.pdf
Cambridge2020.pdf