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1:05:05
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USC Probability and Statistics Seminar
Kabir Verchand: The dynamics of iterative algorithms with random data: Beyond first-order... (USC)
In this talk, I will present a toolbox to analyze a broad class of iterative algorithms for high-dimensional (non)-convex optimization with random data. This class is rich enough to include general first-order methods with non-separable, Lipschitz updates (such as gradient descent and approximate message passing) as well as commonly used higher ...
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